Upload Create_a_custom_dataset.ipynb
Browse files- Create_a_custom_dataset.ipynb +1008 -0
Create_a_custom_dataset.ipynb
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@@ -0,0 +1,1008 @@
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| 1 |
+
{
|
| 2 |
+
"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "code",
|
| 5 |
+
"execution_count": null,
|
| 6 |
+
"metadata": {
|
| 7 |
+
"id": "kPz1tyJkZg2B"
|
| 8 |
+
},
|
| 9 |
+
"outputs": [],
|
| 10 |
+
"source": [
|
| 11 |
+
"import pandas as pd\n",
|
| 12 |
+
"import numpy as np\n",
|
| 13 |
+
"import os\n",
|
| 14 |
+
"from openai import OpenAI\n",
|
| 15 |
+
"from google.colab import userdata\n",
|
| 16 |
+
"import csv\n",
|
| 17 |
+
"from tqdm.notebook import tqdm"
|
| 18 |
+
]
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"cell_type": "code",
|
| 22 |
+
"execution_count": null,
|
| 23 |
+
"metadata": {
|
| 24 |
+
"id": "cM3Ajbl3aIYp"
|
| 25 |
+
},
|
| 26 |
+
"outputs": [],
|
| 27 |
+
"source": [
|
| 28 |
+
"os.environ[\"OPENAI_API_KEY\"] = userdata.get('openai')\n",
|
| 29 |
+
"client = OpenAI()\n",
|
| 30 |
+
"\n",
|
| 31 |
+
"def get_openai_response(prompt):\n",
|
| 32 |
+
" completion = client.chat.completions.create(\n",
|
| 33 |
+
" model=\"gpt-4o\",\n",
|
| 34 |
+
" messages=[{\n",
|
| 35 |
+
" \"role\": \"user\",\n",
|
| 36 |
+
" \"content\": prompt\n",
|
| 37 |
+
" }]\n",
|
| 38 |
+
" )\n",
|
| 39 |
+
"\n",
|
| 40 |
+
" return completion.choices[0].message.content"
|
| 41 |
+
]
|
| 42 |
+
},
|
| 43 |
+
{
|
| 44 |
+
"cell_type": "code",
|
| 45 |
+
"execution_count": null,
|
| 46 |
+
"metadata": {
|
| 47 |
+
"colab": {
|
| 48 |
+
"base_uri": "https://localhost:8080/",
|
| 49 |
+
"height": 98
|
| 50 |
+
},
|
| 51 |
+
"id": "h0X5WMKiah3s",
|
| 52 |
+
"outputId": "d37dc2a6-543b-4736-bd7a-a7de549384a0"
|
| 53 |
+
},
|
| 54 |
+
"outputs": [
|
| 55 |
+
{
|
| 56 |
+
"data": {
|
| 57 |
+
"application/vnd.google.colaboratory.intrinsic+json": {
|
| 58 |
+
"summary": "{\n \"name\": \"df\",\n \"rows\": 1320,\n \"fields\": [\n {\n \"column\": \"curr_type_id\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1320,\n \"samples\": [\n \"2d5b0c94-f577-49eb-9a66-d27a40fe9567\",\n \"a97643e9-a1d7-41df-a33b-773c8a5ffeea\",\n \"a4996c4c-a8a2-4de5-b347-32471b81108a\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"curr_type_str\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1320,\n \"samples\": [\n \"Database Administrator_Mid-level_Perplexity\",\n \"Database Administrator_Staff_Google\",\n \"Data Engineer_Staff_SpaceX\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"resume_prompts\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1320,\n \"samples\": [\n \"Perplexity\\uc5d0\\uc11c \\uc77c\\ud558\\ub294 Mid-level Database Administrator\\uc758 \\ud604\\uc2e4\\uc801\\uc778 \\uc774\\ub825\\uc11c\\ub97c \\uc791\\uc131\\ud558\\ub418, '\\uc608\\uc2dc', '[\\uc774\\ub984]'\\uacfc \\uac19\\uc740 \\uc77c\\ubc18\\uc801\\uc778 \\ud45c\\ud604\\uc774\\ub098 \\uc790\\ub9ac \\ud45c\\uc2dc\\uc790\\ub294 \\uc0ac\\uc6a9\\ud558\\uc9c0 \\ub9c8\\uc138\\uc694.\\n\\uc774\\ub825\\uc11c:\",\n \"Google\\uc5d0\\uc11c \\uc77c\\ud558\\ub294 Staff Database Administrator\\uc758 \\ud604\\uc2e4\\uc801\\uc778 \\uc774\\ub825\\uc11c\\ub97c \\uc791\\uc131\\ud558\\ub418, '\\uc608\\uc2dc', '[\\uc774\\ub984]'\\uacfc \\uac19\\uc740 \\uc77c\\ubc18\\uc801\\uc778 \\ud45c\\ud604\\uc774\\ub098 \\uc790\\ub9ac \\ud45c\\uc2dc\\uc790\\ub294 \\uc0ac\\uc6a9\\ud558\\uc9c0 \\ub9c8\\uc138\\uc694.\\n\\uc774\\ub825\\uc11c:\",\n \"SpaceX\\uc5d0\\uc11c \\uc77c\\ud558\\ub294 Staff Data Engineer\\uc758 \\ud604\\uc2e4\\uc801\\uc778 \\uc774\\ub825\\uc11c\\ub97c \\uc791\\uc131\\ud558\\ub418, '\\uc608\\uc2dc', '[\\uc774\\ub984]'\\uacfc \\uac19\\uc740 \\uc77c\\ubc18\\uc801\\uc778 \\ud45c\\ud604\\uc774\\ub098 \\uc790\\ub9ac \\ud45c\\uc2dc\\uc790\\ub294 \\uc0ac\\uc6a9\\ud558\\uc9c0 \\ub9c8\\uc138\\uc694.\\n\\uc774\\ub825\\uc11c:\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"jd_prompts\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1320,\n \"samples\": [\n \"Perplexity\\uc758 Mid-level Database Administrator \\ucc44\\uc6a9 \\uacf5\\uace0\\ub97c \\uc2e4\\uc81c\\ucc98\\ub7fc \\uc791\\uc131\\ud558\\ub418, \\uc77c\\ubc18\\uc801\\uc778 \\ubb38\\uad6c\\ub098 \\uc608\\uc2dc\\ub294 \\uc0ac\\uc6a9\\ud558\\uc9c0 \\ub9d0\\uace0, \\uad6c\\uccb4\\uc801\\uc774\\uace0 \\uc804\\ubb38\\uc801\\uc778 \\uc5b4\\uc870\\ub97c \\uc720\\uc9c0\\ud558\\uc138\\uc694.\\n\\ucc44\\uc6a9 \\uacf5\\uace0:\",\n \"Google\\uc758 Staff Database Administrator \\ucc44\\uc6a9 \\uacf5\\uace0\\ub97c \\uc2e4\\uc81c\\ucc98\\ub7fc \\uc791\\uc131\\ud558\\ub418, \\uc77c\\ubc18\\uc801\\uc778 \\ubb38\\uad6c\\ub098 \\uc608\\uc2dc\\ub294 \\uc0ac\\uc6a9\\ud558\\uc9c0 \\ub9d0\\uace0, \\uad6c\\uccb4\\uc801\\uc774\\uace0 \\uc804\\ubb38\\uc801\\uc778 \\uc5b4\\uc870\\ub97c \\uc720\\uc9c0\\ud558\\uc138\\uc694.\\n\\ucc44\\uc6a9 \\uacf5\\uace0:\",\n \"SpaceX\\uc758 Staff Data Engineer \\ucc44\\uc6a9 \\uacf5\\uace0\\ub97c \\uc2e4\\uc81c\\ucc98\\ub7fc \\uc791\\uc131\\ud558\\ub418, \\uc77c\\ubc18\\uc801\\uc778 \\ubb38\\uad6c\\ub098 \\uc608\\uc2dc\\ub294 \\uc0ac\\uc6a9\\ud558\\uc9c0 \\ub9d0\\uace0, \\uad6c\\uccb4\\uc801\\uc774\\uace0 \\uc804\\ubb38\\uc801\\uc778 \\uc5b4\\uc870\\ub97c \\uc720\\uc9c0\\ud558\\uc138\\uc694.\\n\\ucc44\\uc6a9 \\uacf5\\uace0:\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}",
|
| 59 |
+
"type": "dataframe",
|
| 60 |
+
"variable_name": "df"
|
| 61 |
+
},
|
| 62 |
+
"text/html": [
|
| 63 |
+
"\n",
|
| 64 |
+
" <div id=\"df-5efafc3a-05d2-4665-8fbb-fdd6dea0437a\" class=\"colab-df-container\">\n",
|
| 65 |
+
" <div>\n",
|
| 66 |
+
"<style scoped>\n",
|
| 67 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
| 68 |
+
" vertical-align: middle;\n",
|
| 69 |
+
" }\n",
|
| 70 |
+
"\n",
|
| 71 |
+
" .dataframe tbody tr th {\n",
|
| 72 |
+
" vertical-align: top;\n",
|
| 73 |
+
" }\n",
|
| 74 |
+
"\n",
|
| 75 |
+
" .dataframe thead th {\n",
|
| 76 |
+
" text-align: right;\n",
|
| 77 |
+
" }\n",
|
| 78 |
+
"</style>\n",
|
| 79 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
| 80 |
+
" <thead>\n",
|
| 81 |
+
" <tr style=\"text-align: right;\">\n",
|
| 82 |
+
" <th></th>\n",
|
| 83 |
+
" <th>curr_type_id</th>\n",
|
| 84 |
+
" <th>curr_type_str</th>\n",
|
| 85 |
+
" <th>resume_prompts</th>\n",
|
| 86 |
+
" <th>jd_prompts</th>\n",
|
| 87 |
+
" </tr>\n",
|
| 88 |
+
" </thead>\n",
|
| 89 |
+
" <tbody>\n",
|
| 90 |
+
" <tr>\n",
|
| 91 |
+
" <th>0</th>\n",
|
| 92 |
+
" <td>07bf6478-04a9-4022-a87a-9a0807a016df</td>\n",
|
| 93 |
+
" <td>Software Engineer_Junior_Google</td>\n",
|
| 94 |
+
" <td>Google에서 일하는 Junior Software Engineer의 현실적인 이력...</td>\n",
|
| 95 |
+
" <td>Google의 Junior Software Engineer 채용 공고를 실제처럼 작...</td>\n",
|
| 96 |
+
" </tr>\n",
|
| 97 |
+
" </tbody>\n",
|
| 98 |
+
"</table>\n",
|
| 99 |
+
"</div>\n",
|
| 100 |
+
" <div class=\"colab-df-buttons\">\n",
|
| 101 |
+
"\n",
|
| 102 |
+
" <div class=\"colab-df-container\">\n",
|
| 103 |
+
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-5efafc3a-05d2-4665-8fbb-fdd6dea0437a')\"\n",
|
| 104 |
+
" title=\"Convert this dataframe to an interactive table.\"\n",
|
| 105 |
+
" style=\"display:none;\">\n",
|
| 106 |
+
"\n",
|
| 107 |
+
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
|
| 108 |
+
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
|
| 109 |
+
" </svg>\n",
|
| 110 |
+
" </button>\n",
|
| 111 |
+
"\n",
|
| 112 |
+
" <style>\n",
|
| 113 |
+
" .colab-df-container {\n",
|
| 114 |
+
" display:flex;\n",
|
| 115 |
+
" gap: 12px;\n",
|
| 116 |
+
" }\n",
|
| 117 |
+
"\n",
|
| 118 |
+
" .colab-df-convert {\n",
|
| 119 |
+
" background-color: #E8F0FE;\n",
|
| 120 |
+
" border: none;\n",
|
| 121 |
+
" border-radius: 50%;\n",
|
| 122 |
+
" cursor: pointer;\n",
|
| 123 |
+
" display: none;\n",
|
| 124 |
+
" fill: #1967D2;\n",
|
| 125 |
+
" height: 32px;\n",
|
| 126 |
+
" padding: 0 0 0 0;\n",
|
| 127 |
+
" width: 32px;\n",
|
| 128 |
+
" }\n",
|
| 129 |
+
"\n",
|
| 130 |
+
" .colab-df-convert:hover {\n",
|
| 131 |
+
" background-color: #E2EBFA;\n",
|
| 132 |
+
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
| 133 |
+
" fill: #174EA6;\n",
|
| 134 |
+
" }\n",
|
| 135 |
+
"\n",
|
| 136 |
+
" .colab-df-buttons div {\n",
|
| 137 |
+
" margin-bottom: 4px;\n",
|
| 138 |
+
" }\n",
|
| 139 |
+
"\n",
|
| 140 |
+
" [theme=dark] .colab-df-convert {\n",
|
| 141 |
+
" background-color: #3B4455;\n",
|
| 142 |
+
" fill: #D2E3FC;\n",
|
| 143 |
+
" }\n",
|
| 144 |
+
"\n",
|
| 145 |
+
" [theme=dark] .colab-df-convert:hover {\n",
|
| 146 |
+
" background-color: #434B5C;\n",
|
| 147 |
+
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
| 148 |
+
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
| 149 |
+
" fill: #FFFFFF;\n",
|
| 150 |
+
" }\n",
|
| 151 |
+
" </style>\n",
|
| 152 |
+
"\n",
|
| 153 |
+
" <script>\n",
|
| 154 |
+
" const buttonEl =\n",
|
| 155 |
+
" document.querySelector('#df-5efafc3a-05d2-4665-8fbb-fdd6dea0437a button.colab-df-convert');\n",
|
| 156 |
+
" buttonEl.style.display =\n",
|
| 157 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
| 158 |
+
"\n",
|
| 159 |
+
" async function convertToInteractive(key) {\n",
|
| 160 |
+
" const element = document.querySelector('#df-5efafc3a-05d2-4665-8fbb-fdd6dea0437a');\n",
|
| 161 |
+
" const dataTable =\n",
|
| 162 |
+
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
| 163 |
+
" [key], {});\n",
|
| 164 |
+
" if (!dataTable) return;\n",
|
| 165 |
+
"\n",
|
| 166 |
+
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
| 167 |
+
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
| 168 |
+
" + ' to learn more about interactive tables.';\n",
|
| 169 |
+
" element.innerHTML = '';\n",
|
| 170 |
+
" dataTable['output_type'] = 'display_data';\n",
|
| 171 |
+
" await google.colab.output.renderOutput(dataTable, element);\n",
|
| 172 |
+
" const docLink = document.createElement('div');\n",
|
| 173 |
+
" docLink.innerHTML = docLinkHtml;\n",
|
| 174 |
+
" element.appendChild(docLink);\n",
|
| 175 |
+
" }\n",
|
| 176 |
+
" </script>\n",
|
| 177 |
+
" </div>\n",
|
| 178 |
+
"\n",
|
| 179 |
+
"\n",
|
| 180 |
+
" </div>\n",
|
| 181 |
+
" </div>\n"
|
| 182 |
+
],
|
| 183 |
+
"text/plain": [
|
| 184 |
+
" curr_type_id curr_type_str \\\n",
|
| 185 |
+
"0 07bf6478-04a9-4022-a87a-9a0807a016df Software Engineer_Junior_Google \n",
|
| 186 |
+
"\n",
|
| 187 |
+
" resume_prompts \\\n",
|
| 188 |
+
"0 Google에서 일하는 Junior Software Engineer의 현실적인 이력... \n",
|
| 189 |
+
"\n",
|
| 190 |
+
" jd_prompts \n",
|
| 191 |
+
"0 Google의 Junior Software Engineer 채용 공고를 실제처럼 작... "
|
| 192 |
+
]
|
| 193 |
+
},
|
| 194 |
+
"execution_count": 12,
|
| 195 |
+
"metadata": {},
|
| 196 |
+
"output_type": "execute_result"
|
| 197 |
+
}
|
| 198 |
+
],
|
| 199 |
+
"source": [
|
| 200 |
+
"df = pd.read_csv('/content/dataset_creation_prompts.csv')\n",
|
| 201 |
+
"df.head(1)"
|
| 202 |
+
]
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"cell_type": "code",
|
| 206 |
+
"execution_count": null,
|
| 207 |
+
"metadata": {
|
| 208 |
+
"colab": {
|
| 209 |
+
"base_uri": "https://localhost:8080/"
|
| 210 |
+
},
|
| 211 |
+
"id": "GMYP4jBack_O",
|
| 212 |
+
"outputId": "0915537e-dfd8-4a9a-bfc2-a5b1110daef4"
|
| 213 |
+
},
|
| 214 |
+
"outputs": [
|
| 215 |
+
{
|
| 216 |
+
"name": "stdout",
|
| 217 |
+
"output_type": "stream",
|
| 218 |
+
"text": [
|
| 219 |
+
"3960\n"
|
| 220 |
+
]
|
| 221 |
+
}
|
| 222 |
+
],
|
| 223 |
+
"source": [
|
| 224 |
+
"input_filename = \"dataset_creation_prompts.csv\"\n",
|
| 225 |
+
"with open(input_filename, \"r\", encoding=\"utf-8\") as f:\n",
|
| 226 |
+
" total_lines = sum(1 for _ in f) - 1\n",
|
| 227 |
+
"\n",
|
| 228 |
+
"print(total_lines)"
|
| 229 |
+
]
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"cell_type": "code",
|
| 233 |
+
"execution_count": null,
|
| 234 |
+
"metadata": {
|
| 235 |
+
"colab": {
|
| 236 |
+
"base_uri": "https://localhost:8080/",
|
| 237 |
+
"height": 84,
|
| 238 |
+
"referenced_widgets": [
|
| 239 |
+
"bd54e677201d4c5396b4b730554b613a",
|
| 240 |
+
"4a9c093c8730415fb2c838171e96d85c",
|
| 241 |
+
"4e22f15011324036b430d8da5c568dad",
|
| 242 |
+
"3afba3522a044b78a3f5bf9462ac445a",
|
| 243 |
+
"828e9c259f364fce9234a9dc3c02be8e",
|
| 244 |
+
"d4c9058ca2a3477da65f3db4ee0df7eb",
|
| 245 |
+
"49bbc3a735004d01809859cb59bdfbbf",
|
| 246 |
+
"e2e592053f5846478e9bbe7bfcd087cb",
|
| 247 |
+
"558d010dbe9644d4b4f37dc995c6ec0e",
|
| 248 |
+
"b40120ef1e6b440b935df4c102f79ac5",
|
| 249 |
+
"b784df62c3ca48f3b89937f191e9eea2"
|
| 250 |
+
]
|
| 251 |
+
},
|
| 252 |
+
"id": "NYdHQgAia2UH",
|
| 253 |
+
"outputId": "7c308a58-867e-464e-bc84-ecdfdf093997"
|
| 254 |
+
},
|
| 255 |
+
"outputs": [
|
| 256 |
+
{
|
| 257 |
+
"metadata": {
|
| 258 |
+
"tags": null
|
| 259 |
+
},
|
| 260 |
+
"name": "stdout",
|
| 261 |
+
"output_type": "stream",
|
| 262 |
+
"text": [
|
| 263 |
+
"Fieldnames as read by DictReader: ['\\ufeffcurr_type_id', 'curr_type_str', 'resume_prompts', 'jd_prompts']\n"
|
| 264 |
+
]
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"data": {
|
| 268 |
+
"application/vnd.jupyter.widget-view+json": {
|
| 269 |
+
"model_id": "bd54e677201d4c5396b4b730554b613a",
|
| 270 |
+
"version_major": 2,
|
| 271 |
+
"version_minor": 0
|
| 272 |
+
},
|
| 273 |
+
"text/plain": [
|
| 274 |
+
"Processing rows: 0%| | 0/1320 [00:00<?, ?it/s]"
|
| 275 |
+
]
|
| 276 |
+
},
|
| 277 |
+
"metadata": {},
|
| 278 |
+
"output_type": "display_data"
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"output_type": "stream",
|
| 282 |
+
"name": "stdout",
|
| 283 |
+
"text": [
|
| 284 |
+
"New CSV 'recuse_custom_dataset.csv' has been created successfully!\n"
|
| 285 |
+
]
|
| 286 |
+
}
|
| 287 |
+
],
|
| 288 |
+
"source": [
|
| 289 |
+
"input_filename = \"dataset_creation_prompts.csv\"\n",
|
| 290 |
+
"output_filename = \"recuse_custom_dataset.csv\"\n",
|
| 291 |
+
"\n",
|
| 292 |
+
"total_lines = len(df)\n",
|
| 293 |
+
"\n",
|
| 294 |
+
"with open(input_filename, \"r\", encoding=\"utf-8\", newline=\"\") as infile, open(output_filename, \"w\", encoding=\"utf-8\", newline=\"\") as outfile:\n",
|
| 295 |
+
" reader = csv.DictReader(infile)\n",
|
| 296 |
+
" print(\"Fieldnames as read by DictReader:\", reader.fieldnames)\n",
|
| 297 |
+
"\n",
|
| 298 |
+
" fieldnames = [\"curr_type_id\", \"curr_type_str\", \"resume\", \"jd\"]\n",
|
| 299 |
+
" writer = csv.DictWriter(outfile, fieldnames=fieldnames)\n",
|
| 300 |
+
" writer.writeheader()\n",
|
| 301 |
+
"\n",
|
| 302 |
+
" for row in tqdm(reader, total=total_lines, desc=\"Processing rows\"):\n",
|
| 303 |
+
" resume_prompt = row[\"resume_prompts\"]\n",
|
| 304 |
+
" jd_prompt = row[\"jd_prompts\"]\n",
|
| 305 |
+
"\n",
|
| 306 |
+
" resume_response = get_openai_response(resume_prompt)\n",
|
| 307 |
+
" jd_response = get_openai_response(jd_prompt)\n",
|
| 308 |
+
"\n",
|
| 309 |
+
" writer.writerow({\n",
|
| 310 |
+
" \"curr_type_id\": row[\"\\ufeffcurr_type_id\"],\n",
|
| 311 |
+
" \"curr_type_str\": row[\"curr_type_str\"],\n",
|
| 312 |
+
" \"resume\": resume_response,\n",
|
| 313 |
+
" \"jd\": jd_response\n",
|
| 314 |
+
" })\n",
|
| 315 |
+
"\n",
|
| 316 |
+
"print(f\"New CSV '{output_filename}' has been created successfully!\")"
|
| 317 |
+
]
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"cell_type": "code",
|
| 321 |
+
"source": [
|
| 322 |
+
"df = pd.read_csv('recuse_custom_dataset.csv')\n",
|
| 323 |
+
"df.head()"
|
| 324 |
+
],
|
| 325 |
+
"metadata": {
|
| 326 |
+
"colab": {
|
| 327 |
+
"base_uri": "https://localhost:8080/",
|
| 328 |
+
"height": 206
|
| 329 |
+
},
|
| 330 |
+
"id": "nsGqsk4_PI-_",
|
| 331 |
+
"outputId": "ec2f4168-4745-4e52-f9ee-9c432ef4db18"
|
| 332 |
+
},
|
| 333 |
+
"execution_count": null,
|
| 334 |
+
"outputs": [
|
| 335 |
+
{
|
| 336 |
+
"output_type": "execute_result",
|
| 337 |
+
"data": {
|
| 338 |
+
"text/plain": [
|
| 339 |
+
" curr_type_id curr_type_str \\\n",
|
| 340 |
+
"0 07bf6478-04a9-4022-a87a-9a0807a016df Software Engineer_Junior_Google \n",
|
| 341 |
+
"1 e18dbb19-c34e-46b3-8455-7586045bfcf4 Software Engineer_Junior_Meta \n",
|
| 342 |
+
"2 63cfe042-3fe1-45cc-b83e-719a09974d99 Software Engineer_Junior_Amazon \n",
|
| 343 |
+
"3 6e30b120-d355-4c47-bbce-6259e683f535 Software Engineer_Junior_Apple \n",
|
| 344 |
+
"4 a23c5ecf-49b3-4f6a-bd06-637819b389e8 Software Engineer_Junior_Tesla \n",
|
| 345 |
+
"\n",
|
| 346 |
+
" resume \\\n",
|
| 347 |
+
"0 [이름: 박민수]\\n\\n**연락처 정보**\\n- 이메일: mpark.dev@gmai... \n",
|
| 348 |
+
"1 홍길동 \\n서울특별시 마포구 \\n이메일: honggildong@email.com... \n",
|
| 349 |
+
"2 ---\\n\\n**김도현 (Dohyun Kim)** \\n서울특별시 마포구 | kim... \n",
|
| 350 |
+
"3 [본인 이름] \\n[본인 주소] \\n[도시, 주, 우편번호] \\n이메일: [본... \n",
|
| 351 |
+
"4 Certainly! Below is a sample resume for a Juni... \n",
|
| 352 |
+
"\n",
|
| 353 |
+
" jd \n",
|
| 354 |
+
"0 **Google 소프트웨어 엔지니어 (주니어) 채용 공고**\\n\\n**위치:** 대... \n",
|
| 355 |
+
"1 **회사명: Meta**\\n\\n**직책: 주니어 소프트웨어 엔지니어**\\n\\n**위... \n",
|
| 356 |
+
"2 **회사명:** Amazon\\n\\n**직무명:** Junior Software En... \n",
|
| 357 |
+
"3 **Apple Inc. - Junior Software Engineer 채용 공고*... \n",
|
| 358 |
+
"4 **Tesla - 주니어 소프트웨어 엔지니어 채용 공고**\\n\\n**위치:** 서울... "
|
| 359 |
+
],
|
| 360 |
+
"text/html": [
|
| 361 |
+
"\n",
|
| 362 |
+
" <div id=\"df-bf0152a8-a51a-457e-a397-9822f34aeba7\" class=\"colab-df-container\">\n",
|
| 363 |
+
" <div>\n",
|
| 364 |
+
"<style scoped>\n",
|
| 365 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
| 366 |
+
" vertical-align: middle;\n",
|
| 367 |
+
" }\n",
|
| 368 |
+
"\n",
|
| 369 |
+
" .dataframe tbody tr th {\n",
|
| 370 |
+
" vertical-align: top;\n",
|
| 371 |
+
" }\n",
|
| 372 |
+
"\n",
|
| 373 |
+
" .dataframe thead th {\n",
|
| 374 |
+
" text-align: right;\n",
|
| 375 |
+
" }\n",
|
| 376 |
+
"</style>\n",
|
| 377 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
| 378 |
+
" <thead>\n",
|
| 379 |
+
" <tr style=\"text-align: right;\">\n",
|
| 380 |
+
" <th></th>\n",
|
| 381 |
+
" <th>curr_type_id</th>\n",
|
| 382 |
+
" <th>curr_type_str</th>\n",
|
| 383 |
+
" <th>resume</th>\n",
|
| 384 |
+
" <th>jd</th>\n",
|
| 385 |
+
" </tr>\n",
|
| 386 |
+
" </thead>\n",
|
| 387 |
+
" <tbody>\n",
|
| 388 |
+
" <tr>\n",
|
| 389 |
+
" <th>0</th>\n",
|
| 390 |
+
" <td>07bf6478-04a9-4022-a87a-9a0807a016df</td>\n",
|
| 391 |
+
" <td>Software Engineer_Junior_Google</td>\n",
|
| 392 |
+
" <td>[이름: 박민수]\\n\\n**연락처 정보**\\n- 이메일: mpark.dev@gmai...</td>\n",
|
| 393 |
+
" <td>**Google 소프트웨어 엔지니어 (주니어) 채용 공��**\\n\\n**위치:** 대...</td>\n",
|
| 394 |
+
" </tr>\n",
|
| 395 |
+
" <tr>\n",
|
| 396 |
+
" <th>1</th>\n",
|
| 397 |
+
" <td>e18dbb19-c34e-46b3-8455-7586045bfcf4</td>\n",
|
| 398 |
+
" <td>Software Engineer_Junior_Meta</td>\n",
|
| 399 |
+
" <td>홍길동 \\n서울특별시 마포구 \\n이메일: honggildong@email.com...</td>\n",
|
| 400 |
+
" <td>**회사명: Meta**\\n\\n**직책: 주니어 소프트웨어 엔지니어**\\n\\n**위...</td>\n",
|
| 401 |
+
" </tr>\n",
|
| 402 |
+
" <tr>\n",
|
| 403 |
+
" <th>2</th>\n",
|
| 404 |
+
" <td>63cfe042-3fe1-45cc-b83e-719a09974d99</td>\n",
|
| 405 |
+
" <td>Software Engineer_Junior_Amazon</td>\n",
|
| 406 |
+
" <td>---\\n\\n**김도현 (Dohyun Kim)** \\n서울특별시 마포구 | kim...</td>\n",
|
| 407 |
+
" <td>**회사명:** Amazon\\n\\n**직무명:** Junior Software En...</td>\n",
|
| 408 |
+
" </tr>\n",
|
| 409 |
+
" <tr>\n",
|
| 410 |
+
" <th>3</th>\n",
|
| 411 |
+
" <td>6e30b120-d355-4c47-bbce-6259e683f535</td>\n",
|
| 412 |
+
" <td>Software Engineer_Junior_Apple</td>\n",
|
| 413 |
+
" <td>[본인 이름] \\n[본인 주소] \\n[도시, 주, 우편번호] \\n이메일: [본...</td>\n",
|
| 414 |
+
" <td>**Apple Inc. - Junior Software Engineer 채용 공고*...</td>\n",
|
| 415 |
+
" </tr>\n",
|
| 416 |
+
" <tr>\n",
|
| 417 |
+
" <th>4</th>\n",
|
| 418 |
+
" <td>a23c5ecf-49b3-4f6a-bd06-637819b389e8</td>\n",
|
| 419 |
+
" <td>Software Engineer_Junior_Tesla</td>\n",
|
| 420 |
+
" <td>Certainly! Below is a sample resume for a Juni...</td>\n",
|
| 421 |
+
" <td>**Tesla - 주니어 소프트웨어 엔지니어 채용 공고**\\n\\n**위치:** 서울...</td>\n",
|
| 422 |
+
" </tr>\n",
|
| 423 |
+
" </tbody>\n",
|
| 424 |
+
"</table>\n",
|
| 425 |
+
"</div>\n",
|
| 426 |
+
" <div class=\"colab-df-buttons\">\n",
|
| 427 |
+
"\n",
|
| 428 |
+
" <div class=\"colab-df-container\">\n",
|
| 429 |
+
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-bf0152a8-a51a-457e-a397-9822f34aeba7')\"\n",
|
| 430 |
+
" title=\"Convert this dataframe to an interactive table.\"\n",
|
| 431 |
+
" style=\"display:none;\">\n",
|
| 432 |
+
"\n",
|
| 433 |
+
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
|
| 434 |
+
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
|
| 435 |
+
" </svg>\n",
|
| 436 |
+
" </button>\n",
|
| 437 |
+
"\n",
|
| 438 |
+
" <style>\n",
|
| 439 |
+
" .colab-df-container {\n",
|
| 440 |
+
" display:flex;\n",
|
| 441 |
+
" gap: 12px;\n",
|
| 442 |
+
" }\n",
|
| 443 |
+
"\n",
|
| 444 |
+
" .colab-df-convert {\n",
|
| 445 |
+
" background-color: #E8F0FE;\n",
|
| 446 |
+
" border: none;\n",
|
| 447 |
+
" border-radius: 50%;\n",
|
| 448 |
+
" cursor: pointer;\n",
|
| 449 |
+
" display: none;\n",
|
| 450 |
+
" fill: #1967D2;\n",
|
| 451 |
+
" height: 32px;\n",
|
| 452 |
+
" padding: 0 0 0 0;\n",
|
| 453 |
+
" width: 32px;\n",
|
| 454 |
+
" }\n",
|
| 455 |
+
"\n",
|
| 456 |
+
" .colab-df-convert:hover {\n",
|
| 457 |
+
" background-color: #E2EBFA;\n",
|
| 458 |
+
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
| 459 |
+
" fill: #174EA6;\n",
|
| 460 |
+
" }\n",
|
| 461 |
+
"\n",
|
| 462 |
+
" .colab-df-buttons div {\n",
|
| 463 |
+
" margin-bottom: 4px;\n",
|
| 464 |
+
" }\n",
|
| 465 |
+
"\n",
|
| 466 |
+
" [theme=dark] .colab-df-convert {\n",
|
| 467 |
+
" background-color: #3B4455;\n",
|
| 468 |
+
" fill: #D2E3FC;\n",
|
| 469 |
+
" }\n",
|
| 470 |
+
"\n",
|
| 471 |
+
" [theme=dark] .colab-df-convert:hover {\n",
|
| 472 |
+
" background-color: #434B5C;\n",
|
| 473 |
+
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
| 474 |
+
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
| 475 |
+
" fill: #FFFFFF;\n",
|
| 476 |
+
" }\n",
|
| 477 |
+
" </style>\n",
|
| 478 |
+
"\n",
|
| 479 |
+
" <script>\n",
|
| 480 |
+
" const buttonEl =\n",
|
| 481 |
+
" document.querySelector('#df-bf0152a8-a51a-457e-a397-9822f34aeba7 button.colab-df-convert');\n",
|
| 482 |
+
" buttonEl.style.display =\n",
|
| 483 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
| 484 |
+
"\n",
|
| 485 |
+
" async function convertToInteractive(key) {\n",
|
| 486 |
+
" const element = document.querySelector('#df-bf0152a8-a51a-457e-a397-9822f34aeba7');\n",
|
| 487 |
+
" const dataTable =\n",
|
| 488 |
+
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
| 489 |
+
" [key], {});\n",
|
| 490 |
+
" if (!dataTable) return;\n",
|
| 491 |
+
"\n",
|
| 492 |
+
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
| 493 |
+
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
| 494 |
+
" + ' to learn more about interactive tables.';\n",
|
| 495 |
+
" element.innerHTML = '';\n",
|
| 496 |
+
" dataTable['output_type'] = 'display_data';\n",
|
| 497 |
+
" await google.colab.output.renderOutput(dataTable, element);\n",
|
| 498 |
+
" const docLink = document.createElement('div');\n",
|
| 499 |
+
" docLink.innerHTML = docLinkHtml;\n",
|
| 500 |
+
" element.appendChild(docLink);\n",
|
| 501 |
+
" }\n",
|
| 502 |
+
" </script>\n",
|
| 503 |
+
" </div>\n",
|
| 504 |
+
"\n",
|
| 505 |
+
"\n",
|
| 506 |
+
"<div id=\"df-2e4f8c2c-639f-442f-ab50-2b2be668a16b\">\n",
|
| 507 |
+
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-2e4f8c2c-639f-442f-ab50-2b2be668a16b')\"\n",
|
| 508 |
+
" title=\"Suggest charts\"\n",
|
| 509 |
+
" style=\"display:none;\">\n",
|
| 510 |
+
"\n",
|
| 511 |
+
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
| 512 |
+
" width=\"24px\">\n",
|
| 513 |
+
" <g>\n",
|
| 514 |
+
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
|
| 515 |
+
" </g>\n",
|
| 516 |
+
"</svg>\n",
|
| 517 |
+
" </button>\n",
|
| 518 |
+
"\n",
|
| 519 |
+
"<style>\n",
|
| 520 |
+
" .colab-df-quickchart {\n",
|
| 521 |
+
" --bg-color: #E8F0FE;\n",
|
| 522 |
+
" --fill-color: #1967D2;\n",
|
| 523 |
+
" --hover-bg-color: #E2EBFA;\n",
|
| 524 |
+
" --hover-fill-color: #174EA6;\n",
|
| 525 |
+
" --disabled-fill-color: #AAA;\n",
|
| 526 |
+
" --disabled-bg-color: #DDD;\n",
|
| 527 |
+
" }\n",
|
| 528 |
+
"\n",
|
| 529 |
+
" [theme=dark] .colab-df-quickchart {\n",
|
| 530 |
+
" --bg-color: #3B4455;\n",
|
| 531 |
+
" --fill-color: #D2E3FC;\n",
|
| 532 |
+
" --hover-bg-color: #434B5C;\n",
|
| 533 |
+
" --hover-fill-color: #FFFFFF;\n",
|
| 534 |
+
" --disabled-bg-color: #3B4455;\n",
|
| 535 |
+
" --disabled-fill-color: #666;\n",
|
| 536 |
+
" }\n",
|
| 537 |
+
"\n",
|
| 538 |
+
" .colab-df-quickchart {\n",
|
| 539 |
+
" background-color: var(--bg-color);\n",
|
| 540 |
+
" border: none;\n",
|
| 541 |
+
" border-radius: 50%;\n",
|
| 542 |
+
" cursor: pointer;\n",
|
| 543 |
+
" display: none;\n",
|
| 544 |
+
" fill: var(--fill-color);\n",
|
| 545 |
+
" height: 32px;\n",
|
| 546 |
+
" padding: 0;\n",
|
| 547 |
+
" width: 32px;\n",
|
| 548 |
+
" }\n",
|
| 549 |
+
"\n",
|
| 550 |
+
" .colab-df-quickchart:hover {\n",
|
| 551 |
+
" background-color: var(--hover-bg-color);\n",
|
| 552 |
+
" box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
| 553 |
+
" fill: var(--button-hover-fill-color);\n",
|
| 554 |
+
" }\n",
|
| 555 |
+
"\n",
|
| 556 |
+
" .colab-df-quickchart-complete:disabled,\n",
|
| 557 |
+
" .colab-df-quickchart-complete:disabled:hover {\n",
|
| 558 |
+
" background-color: var(--disabled-bg-color);\n",
|
| 559 |
+
" fill: var(--disabled-fill-color);\n",
|
| 560 |
+
" box-shadow: none;\n",
|
| 561 |
+
" }\n",
|
| 562 |
+
"\n",
|
| 563 |
+
" .colab-df-spinner {\n",
|
| 564 |
+
" border: 2px solid var(--fill-color);\n",
|
| 565 |
+
" border-color: transparent;\n",
|
| 566 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 567 |
+
" animation:\n",
|
| 568 |
+
" spin 1s steps(1) infinite;\n",
|
| 569 |
+
" }\n",
|
| 570 |
+
"\n",
|
| 571 |
+
" @keyframes spin {\n",
|
| 572 |
+
" 0% {\n",
|
| 573 |
+
" border-color: transparent;\n",
|
| 574 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 575 |
+
" border-left-color: var(--fill-color);\n",
|
| 576 |
+
" }\n",
|
| 577 |
+
" 20% {\n",
|
| 578 |
+
" border-color: transparent;\n",
|
| 579 |
+
" border-left-color: var(--fill-color);\n",
|
| 580 |
+
" border-top-color: var(--fill-color);\n",
|
| 581 |
+
" }\n",
|
| 582 |
+
" 30% {\n",
|
| 583 |
+
" border-color: transparent;\n",
|
| 584 |
+
" border-left-color: var(--fill-color);\n",
|
| 585 |
+
" border-top-color: var(--fill-color);\n",
|
| 586 |
+
" border-right-color: var(--fill-color);\n",
|
| 587 |
+
" }\n",
|
| 588 |
+
" 40% {\n",
|
| 589 |
+
" border-color: transparent;\n",
|
| 590 |
+
" border-right-color: var(--fill-color);\n",
|
| 591 |
+
" border-top-color: var(--fill-color);\n",
|
| 592 |
+
" }\n",
|
| 593 |
+
" 60% {\n",
|
| 594 |
+
" border-color: transparent;\n",
|
| 595 |
+
" border-right-color: var(--fill-color);\n",
|
| 596 |
+
" }\n",
|
| 597 |
+
" 80% {\n",
|
| 598 |
+
" border-color: transparent;\n",
|
| 599 |
+
" border-right-color: var(--fill-color);\n",
|
| 600 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 601 |
+
" }\n",
|
| 602 |
+
" 90% {\n",
|
| 603 |
+
" border-color: transparent;\n",
|
| 604 |
+
" border-bottom-color: var(--fill-color);\n",
|
| 605 |
+
" }\n",
|
| 606 |
+
" }\n",
|
| 607 |
+
"</style>\n",
|
| 608 |
+
"\n",
|
| 609 |
+
" <script>\n",
|
| 610 |
+
" async function quickchart(key) {\n",
|
| 611 |
+
" const quickchartButtonEl =\n",
|
| 612 |
+
" document.querySelector('#' + key + ' button');\n",
|
| 613 |
+
" quickchartButtonEl.disabled = true; // To prevent multiple clicks.\n",
|
| 614 |
+
" quickchartButtonEl.classList.add('colab-df-spinner');\n",
|
| 615 |
+
" try {\n",
|
| 616 |
+
" const charts = await google.colab.kernel.invokeFunction(\n",
|
| 617 |
+
" 'suggestCharts', [key], {});\n",
|
| 618 |
+
" } catch (error) {\n",
|
| 619 |
+
" console.error('Error during call to suggestCharts:', error);\n",
|
| 620 |
+
" }\n",
|
| 621 |
+
" quickchartButtonEl.classList.remove('colab-df-spinner');\n",
|
| 622 |
+
" quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
|
| 623 |
+
" }\n",
|
| 624 |
+
" (() => {\n",
|
| 625 |
+
" let quickchartButtonEl =\n",
|
| 626 |
+
" document.querySelector('#df-2e4f8c2c-639f-442f-ab50-2b2be668a16b button');\n",
|
| 627 |
+
" quickchartButtonEl.style.display =\n",
|
| 628 |
+
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
| 629 |
+
" })();\n",
|
| 630 |
+
" </script>\n",
|
| 631 |
+
"</div>\n",
|
| 632 |
+
"\n",
|
| 633 |
+
" </div>\n",
|
| 634 |
+
" </div>\n"
|
| 635 |
+
],
|
| 636 |
+
"application/vnd.google.colaboratory.intrinsic+json": {
|
| 637 |
+
"type": "dataframe",
|
| 638 |
+
"variable_name": "df",
|
| 639 |
+
"summary": "{\n \"name\": \"df\",\n \"rows\": 1320,\n \"fields\": [\n {\n \"column\": \"curr_type_id\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1320,\n \"samples\": [\n \"2d5b0c94-f577-49eb-9a66-d27a40fe9567\",\n \"a97643e9-a1d7-41df-a33b-773c8a5ffeea\",\n \"a4996c4c-a8a2-4de5-b347-32471b81108a\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"curr_type_str\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1320,\n \"samples\": [\n \"Database Administrator_Mid-level_Perplexity\",\n \"Database Administrator_Staff_Google\",\n \"Data Engineer_Staff_SpaceX\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"resume\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1320,\n \"samples\": [\n \"\\ud64d\\uae38\\ub3d9 \\n\\uc11c\\uc6b8\\ud2b9\\ubcc4\\uc2dc, \\ub300\\ud55c\\ubbfc\\uad6d \\n\\uc774\\uba54\\uc77c: honggildong@email.com \\n\\uc804\\ud654\\ubc88\\ud638: +82-10-1234-5678 \\nLinkedIn: linkedin.com/in/honggildong\\n\\n---\\n\\n**\\uac1c\\uc694** \\n5\\ub144 \\uc774\\uc0c1\\uc758 \\uacbd\\ud5d8\\uc744 \\uac00\\uc9c4 \\uc5f4\\uc815\\uc801\\uc774\\uace0 \\uacb0\\uacfc \\uc9c0\\ud5a5\\uc801\\uc778 Database Administrator\\uc785\\ub2c8\\ub2e4. \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc124\\uacc4, \\uad6c\\ud604 \\ubc0f \\uc720\\uc9c0\\ubcf4\\uc218\\uc5d0 \\uc788\\uc5b4 \\uad11\\ubc94\\uc704\\ud55c \\uc9c0\\uc2dd\\uc744 \\ubcf4\\uc720\\ud558\\uace0 \\uc788\\uc73c\\uba70, \\uc131\\ub2a5 \\ucd5c\\uc801\\ud654 \\ubc0f \\ub370\\uc774\\ud130 \\ubcf4\\uc548\\uc5d0 \\ub300\\ud55c \\uae4a\\uc740 \\uc774\\ud574\\ub97c \\uac00\\uc9c0\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\ubcf5\\uc7a1\\ud55c \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\ubb38\\uc81c \\ud574\\uacb0\\uc5d0 \\ub6f0\\uc5b4\\ub098\\uba70, \\ud300 \\ud611\\uc5c5\\uc744 \\ud1b5\\ud574 \\ud504\\ub85c\\uc81d\\ud2b8 \\ubaa9\\ud45c\\ub97c \\ud6a8\\uacfc\\uc801\\uc73c\\ub85c \\ub2ec\\uc131\\ud574 \\uc654\\uc2b5\\ub2c8\\ub2e4.\\n\\n---\\n\\n**\\uacbd\\ub825**\\n\\n**Perplexity, \\uc11c\\uc6b8\\ud2b9\\ubcc4\\uc2dc** \\n*Mid-level Database Administrator* \\n2020\\ub144 5\\uc6d4 - \\ud604\\uc7ac\\n\\n- \\ub300\\uaddc\\ubaa8 \\uad00\\uacc4\\ud615 \\ubc0f \\ube44\\uad00\\uacc4\\ud615 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uad00\\ub9ac \\ubc0f \\ucd5c\\uc801\\ud654.\\n- \\ub370\\uc774\\ud130 \\ubc31\\uc5c5 \\ubc0f \\ubcf5\\uad6c \\uc804\\ub7b5\\uc744 \\uc124\\uacc4\\ud558\\uace0 \\uad6c\\ud604\\ud558\\uc5ec \\ub370\\uc774\\ud130 \\ubb34\\uacb0\\uc131\\uacfc \\ubcf4\\uc548\\uc744 \\ubcf4\\uc7a5.\\n- \\ucffc\\ub9ac \\uc131\\ub2a5\\uc744 \\ud5a5\\uc0c1\\uc2dc\\ud0a4\\uae30 \\uc704\\ud55c \\uc2a4\\ud0a4\\ub9c8 \\ucd5c\\uc801\\ud654\\uc640 \\uc778\\ub371\\uc2f1 \\uc218\\ud589.\\n- \\uac1c\\ubc1c\\ud300\\uacfc \\ud611\\ub825\\ud558\\uc5ec \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uad00\\ub828 \\ubb38\\uc81c\\ub97c \\ud574\\uacb0\\ud558\\uace0 \\uc560\\ud50c\\ub9ac\\ucf00\\uc774\\uc158 \\uc131\\ub2a5\\uc744 \\uac1c\\uc120.\\n- \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\ud658\\uacbd\\uc5d0\\uc11c\\uc758 \\uc790\\ub3d9\\ud654 \\uac00\\ub2a5\\uc131\\uc744 \\ud0d0\\uc0c9\\ud558\\uace0 \\ub3c4\\uc785\\ud558\\uc5ec \\uc6b4\\uc601 \\ud6a8\\uc728\\uc131 \\uc99d\\ub300.\\n- \\uc8fc\\uae30\\uc801\\uc778 \\uc2dc\\uc2a4\\ud15c \\uac10\\uc0ac\\ub97c \\ud1b5\\ud574 \\ubcf4\\uc548 \\ucde8\\uc57d\\uc131\\uc744 \\uc2dd\\ubcc4 \\ubc0f \\uc218\\uc815.\\n\\n**NeoData Solutions, \\uacbd\\uae30 \\uc218\\uc6d0\\uc2dc** \\n*Junior Database Administrator* \\n2017\\ub144 6\\uc6d4 - 2020\\ub144 4\\uc6d4\\n\\n- \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc124\\uce58, \\uad6c\\uc131 \\ubc0f \\uc0ac\\uc6a9\\uc790 \\uad00\\ub9ac \\uc218\\ud589.\\n- \\ubc31\\uc5c5 \\uc2dc\\uc2a4\\ud15c \\uad00\\ub9ac \\ubc0f \\ub370\\uc774\\ud130 \\ubcf5\\uad6c \\uc808\\ucc28 \\uc9c0\\uc6d0.\\n- \\uc2a4\\ud06c\\ub9bd\\ud305\\uc744 \\ud1b5\\ud574 \\uc815\\uae30\\uc801\\uc778 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc791\\uc5c5 \\uc790\\ub3d9\\ud654 \\uc9c0\\uc6d0.\\n- \\uc131\\ub2a5 \\ubaa8\\ub2c8\\ud130\\ub9c1 \\ub3c4\\uad6c\\ub97c \\uc0ac\\uc6a9\\ud558\\uc5ec \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc131\\ub2a5\\uc744 \\ucd94\\uc801 \\ubc0f \\ud3c9\\uac00.\\n- \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\ubb38\\uc81c \\ud574\\uacb0 \\ubc0f \\ucd5c\\uc801\\ud654 \\uc9c0\\uc6d0\\uc744 \\ud1b5\\ud55c \\ub2e4\\uc6b4\\ud0c0\\uc784 \\uac10\\uc18c.\\n\\n---\\n\\n**\\uad50\\uc721**\\n\\n\\uc11c\\uc6b8\\ub300\\ud559\\uad50 \\n\\ucef4\\ud4e8\\ud130\\uacf5\\ud559\\uacfc \\ud559\\uc0ac \\n2013\\ub144 3\\uc6d4 - 2017\\ub144 2\\uc6d4\\n\\n---\\n\\n**\\uae30\\uc220 \\uc2a4\\ud0ac**\\n\\n- \\uad00\\uacc4\\ud615 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4: MySQL, PostgreSQL, MS SQL Server\\n- \\ube44\\uad00\\uacc4\\ud615 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4: MongoDB, Redis\\n- \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc131\\ub2a5 \\ucd5c\\uc801\\ud654 \\ubc0f \\ucffc\\ub9ac \\ud29c\\ub2dd\\n- \\ub370\\uc774\\ud130 \\ubc31\\uc5c5 \\ubc0f \\ubcf5\\uad6c \\uc808\\ucc28\\n- \\uc2a4\\ud06c\\ub9bd\\ud305 \\ubc0f \\uc790\\ub3d9\\ud654: Python, Shell Script\\n- \\ud074\\ub77c\\uc6b0\\ub4dc \\ud50c\\ub7ab\\ud3fc \\uacbd\\ud5d8: AWS RDS, Azure SQL Database\\n\\n---\\n\\n**\\uc790\\uaca9\\uc99d**\\n\\n- Oracle Certified Professional, MySQL 8.0 Database Administrator\\n- Microsoft Certified: Azure Database Administrator Associate\\n\\n---\\n\\n**\\uae30\\ud0c0**\\n\\n- \\uc6b0\\uc218\\ud55c \\ubb38\\uc81c \\ud574\\uacb0 \\ub2a5\\ub825 \\ubc0f \\uc138\\ubd80 \\uc0ac\\ud56d\\uc5d0 \\ub300\\ud55c \\ucca0\\uc800\\ud55c \\uc8fc\\uc758\\n- \\ub6f0\\uc5b4\\ub09c \\uc758\\uc0ac\\uc18c\\ud1b5 \\ubc0f \\ud611\\uc5c5 \\ub2a5\\ub825\\n- \\uae30\\uc220 \\ube14\\ub85c\\uadf8 \\uc6b4\\uc601\\uc744 \\ud1b5\\ud55c \\ucee4\\ubba4\\ub2c8\\ud2f0 \\uae30\\uc5ec \\ubc0f \\ud559\\uc2b5 \\uacf5\\uc720\",\n \"[\\uae40\\ud604\\uc6b0] \\n\\uc11c\\uc6b8\\ud2b9\\ubcc4\\uc2dc, \\ub300\\ud55c\\ubbfc\\uad6d \\nkim.hyunwoo@gmail.com \\n+82 10-1234-5678 \\n\\n---\\n\\n**\\uc9c1\\uc5c5 \\ubaa9\\ud45c** \\n\\uacbd\\ud5d8\\uc774 \\ud48d\\ubd80\\ud55c \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uad00\\ub9ac\\uc790(Database Administrator)\\ub85c\\uc11c, Google\\uc5d0\\uc11c\\uc758 \\uacbd\\ud5d8\\uc744 \\ubc14\\ud0d5\\uc73c\\ub85c \\ub370\\uc774\\ud130 \\uad00\\ub9ac \\ubc0f \\ucd5c\\uc801\\ud654\\ub97c \\ud1b5\\ud574 \\uae30\\uc5c5\\uc758 \\ubaa9\\ud45c \\ub2ec\\uc131\\uacfc \\uc131\\uacfc \\ud5a5\\uc0c1\\uc5d0 \\uae30\\uc5ec\\ud558\\uace0\\uc790 \\ud569\\ub2c8\\ub2e4.\\n\\n---\\n\\n**\\uc804\\ubb38 \\uacbd\\ub825**\\n\\n**Google Korea, \\uc11c\\uc6b8\\ud2b9\\ubcc4\\uc2dc \\u2014 Staff Database Administrator** \\n2020\\ub144 6\\uc6d4 - \\ud604\\uc7ac\\n\\n- \\ub300\\uaddc\\ubaa8 \\ubd84\\uc0b0 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc2dc\\uc2a4\\ud15c \\uad00\\ub9ac \\ubc0f \\ucd5c\\uc801\\ud654, \\uc218\\ubc31 \\ud14c\\ub77c\\ubc14\\uc774\\ud2b8\\uc758 \\ub370\\uc774\\ud130\\ub97c \\ud6a8\\uacfc\\uc801\\uc73c\\ub85c \\ucc98\\ub9ac\\ud558\\uace0 \\ubd84\\uc11d.\\n- MySQL, PostgreSQL, MongoDB\\uc640 \\uac19\\uc740 \\ub2e4\\uc591\\ud55c \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\ud50c\\ub7ab\\ud3fc\\uc744 \\ud65c\\uc6a9\\ud558\\uc5ec \\ub370\\uc774\\ud130 \\uc800\\uc7a5\\uc18c\\uc758 \\uc548\\uc804\\uc131\\uacfc \\ud655\\uc7a5\\uc131\\uc744 \\uac15\\ud654.\\n- \\uace0\\uac00\\uc6a9\\uc131 \\ubc0f \\ub370\\uc774\\ud130 \\ubcf5\\uad6c \\uc194\\ub8e8\\uc158 \\uc124\\uacc4, \\uad6c\\ud604 \\ubc0f \\ud14c\\uc2a4\\ud2b8\\ub97c \\ud1b5\\ud574 \\uc2dc\\uc2a4\\ud15c \\ub2e4\\uc6b4\\ud0c0\\uc784\\uc744 20% \\uc774\\uc0c1 \\uac10\\uc18c\\uc2dc\\ud0b4.\\n- \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\ubcf4\\uc548 \\uc815\\ucc45 \\uc218\\ub9bd \\ubc0f \\uc2dc\\ud589, \\uc911\\uc694\\ud55c \\ub370\\uc774\\ud130\\uc758 \\ubb34\\uacb0\\uc131\\uacfc \\ubcf4\\uc548\\uc744 \\uc720\\uc9c0\\ud558\\uba70 \\uaddc\\uc815 \\uc900\\uc218\\ub97c \\ubcf4\\uc7a5.\\n- \\uc8fc\\uae30\\uc801\\uc778 \\uc131\\ub2a5 \\ubaa8\\ub2c8\\ud130\\ub9c1 \\ubc0f \\ud504\\ub85c\\ud30c\\uc77c\\ub9c1\\uc744 \\ud1b5\\ud574 \\ucffc\\ub9ac \\uc751\\ub2f5 \\uc2dc\\uac04\\uc744 30% \\ub2e8\\ucd95.\\n- \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uad00\\ub828 \\ubb38\\uc81c\\uc758 \\uc6d0\\uc778 \\ubd84\\uc11d(Root Cause Analysis)\\uacfc \\ubb38\\uc81c \\ud574\\uacb0, \\uc6b4\\uc601 \\uc911\\ub2e8\\uc744 \\ucd5c\\uc18c\\ud654\\ud558\\uc5ec \\ud6a8\\uc728\\uc131\\uc744 \\ud5a5\\uc0c1.\\n \\n**Naver Corp., \\uc131\\ub0a8\\uc2dc \\u2014 Senior Database Administrator** \\n2015\\ub144 4\\uc6d4 - 2020\\ub144 5\\uc6d4\\n\\n- \\ub300\\uaddc\\ubaa8 \\uc628\\ub77c\\uc778 \\ud50c\\ub7ab\\ud3fc\\uc758 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc778\\ud504\\ub77c \\uc124\\uacc4 \\ubc0f \\uc720\\uc9c0\\ubcf4\\uc218.\\n- \\ubc30\\ud3ec \\uc790\\ub3d9\\ud654 \\ubc0f \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\ubc31\\uc5c5 \\uc2dc\\uc2a4\\ud15c \\uad6c\\ucd95\\uc73c\\ub85c \\uc6b4\\uc601 \\ud6a8\\uc728\\uc131 15% \\ud5a5\\uc0c1.\\n- \\uc2e0\\uc785 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uad00\\ub9ac\\uc790 \\uad50\\uc721 \\ubc0f \\uba58\\ud1a0\\ub9c1, \\ud300\\uc758 \\uc804\\ubb38\\uc131\\uc744 \\ub192\\uc774\\ub294 \\ub370 \\uae30\\uc5ec.\\n- \\ube44\\uc988\\ub2c8\\uc2a4 \\uc694\\uad6c \\uc0ac\\ud56d\\uc5d0 \\ub530\\ub978 \\ub370\\uc774\\ud130 \\ubaa8\\ub378\\ub9c1 \\ubc0f \\uc544\\ud0a4\\ud14d\\ucc98 \\uc124\\uacc4.\\n\\n---\\n\\n**\\ud559\\ub825**\\n\\n**\\uc11c\\uc6b8\\ub300\\ud559\\uad50, \\uc11c\\uc6b8\\ud2b9\\ubcc4\\uc2dc** \\n\\ucef4\\ud4e8\\ud130\\uacf5\\ud559 \\ud559\\uc0ac \\n2010\\ub144 3\\uc6d4 - 2014\\ub144 2\\uc6d4\\n\\n- \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc2dc\\uc2a4\\ud15c, \\uc54c\\uace0\\ub9ac\\uc998, \\ub124\\ud2b8\\uc6cc\\ud06c \\ubc0f \\ubcf4\\uc548 \\uad00\\ub828 \\uacfc\\ubaa9\\uc744 \\uc911\\uc810\\uc801\\uc73c\\ub85c \\uc218\\uac15.\\n\\n---\\n\\n**\\uae30\\uc220 \\uc5ed\\ub7c9**\\n\\n- **\\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uad00\\ub9ac:** MySQL, PostgreSQL, MongoDB, Oracle\\n- **\\ud504\\ub85c\\uadf8\\ub798\\ubc0d \\uc5b8\\uc5b4:** Python, Java, SQL\\n- **\\ub3c4\\uad6c \\ubc0f \\ud50c\\ub7ab\\ud3fc:** AWS, GCP, Docker, Kubernetes\\n- **\\uae30\\ud0c0:** \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc131\\ub2a5 \\ud29c\\ub2dd, \\uace0\\uac00\\uc6a9\\uc131 \\uc544\\ud0a4\\ud14d\\ucc98 \\uc124\\uacc4, \\ub370\\uc774\\ud130 \\ub9c8\\uc774\\uadf8\\ub808\\uc774\\uc158\\n\\n---\\n\\n**\\uc790\\uaca9\\uc99d**\\n\\n- AWS Certified Solutions Architect \\u2013 Associate\\n- Google Professional Data Engineer\\n\\n---\\n\\n**\\uc218\\uc0c1 \\ubc0f \\ud45c\\ucc3d**\\n\\n- 2019\\ub144 \\uc0ac\\ub0b4 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\ud601\\uc2e0 \\ud504\\ub85c\\uc81d\\ud2b8 \\uc6b0\\uc218\\uc0c1, Naver Corp.\\n- 2021\\ub144 Google Outstanding Employee Award\\n\\n---\\n\\n**\\uc5b8\\uc5b4**\\n\\n- \\ud55c\\uad6d\\uc5b4: \\ubaa8\\uad6d\\uc5b4\\n- \\uc601\\uc5b4: \\uc804\\ubb38 \\uc5c5\\ubb34 \\uc218\\uc900\\n\\n---\\n\\n**\\ucc38\\uace0 \\uc790\\ub8cc**\\n\\n\\ucd94\\uac00 \\uc790\\ub8cc \\ubc0f \\ud504\\ub85c\\uc81d\\ud2b8\\uc5d0 \\ub300\\ud55c \\ud3ec\\ud2b8\\ud3f4\\ub9ac\\uc624\\ub294 \\uc694\\uccad \\uc2dc \\uc81c\\uacf5 \\uac00\\ub2a5\\ud569\\ub2c8\\ub2e4.\",\n \"---\\n\\n**\\ud64d\\uae38\\ub3d9**\\n\\n**\\uc5f0\\ub77d\\ucc98:** \\n\\uc774\\uba54\\uc77c: hong.gildong@datamail.com \\n\\uc804\\ud654: +82-10-1234-5678 \\n\\uc8fc\\uc18c: \\uc11c\\uc6b8\\ud2b9\\ubcc4\\uc2dc \\uac15\\ub0a8\\uad6c \\ud14c\\ud5e4\\ub780\\ub85c 123, 45\\uce35\\n\\n---\\n\\n**\\uc9c1\\ubb34 \\ubaa9\\ud45c**\\n\\n\\ub370\\uc774\\ud130 \\uae30\\ubc18\\uc758 \\ud601\\uc2e0\\uc744 \\ud1b5\\ud574 \\uc6b0\\uc8fc \\ud0d0\\uc0ac \\ubc0f \\uae30\\uc220 \\ubc1c\\uc804\\uc5d0 \\uae30\\uc5ec\\ud560 \\uc900\\ube44\\uac00 \\ub41c \\ub370\\uc774\\ud130 \\uc5d4\\uc9c0\\ub2c8\\uc5b4. \\ub300\\uc6a9\\ub7c9 \\ub370\\uc774\\ud130 \\ucc98\\ub9ac\\uc640 \\ubd84\\uc11d\\uc5d0 \\ud0c1\\uc6d4\\ud55c \\ub2a5\\ub825\\uc73c\\ub85c SpaceX \\ub0b4 \\ud504\\ub85c\\uc81d\\ud2b8\\uc758 \\uc131\\uacf5\\uc744 \\uc774\\ub04c\\uace0\\uc790 \\ud569\\ub2c8\\ub2e4.\\n\\n---\\n\\n**\\uacbd\\ub825 \\uc694\\uc57d**\\n\\n**SpaceX** \\n**Staff Data Engineer** \\n2020\\ub144 3\\uc6d4 \\u2013 \\ud604\\uc7ac \\n- \\uc720\\uc9c0\\ubcf4\\uc218 \\ubc0f \\ucd5c\\uc801\\ud654\\ub97c \\ud3ec\\ud568\\ud55c \\ub300\\uaddc\\ubaa8 \\ub370\\uc774\\ud130 \\ud30c\\uc774\\ud504\\ub77c\\uc778 \\uc124\\uacc4 \\ubc0f \\uad6c\\ud604.\\n- \\ubbf8\\uc158 \\ube44\\ud589 \\ub370\\uc774\\ud130\\uc758 \\uc2e4\\uc2dc\\uac04 \\uc2a4\\ud2b8\\ub9ac\\ubc0d \\ubc0f \\ubd84\\uc11d\\uc744 \\ud1b5\\ud574 \\ubc1c\\uc0ac \\ubc0f \\uc6b4\\uc601 \\uc131\\uacfc\\ub97c \\uc9c0\\uc6d0.\\n- JSON, Parquet \\ub4f1 \\ub2e4\\uc591\\ud55c \\ud3ec\\ub9f7\\uc758 \\ub300\\uc6a9\\ub7c9 \\ub370\\uc774\\ud130 \\ucc98\\ub9ac\\ub97c \\uc704\\ud55c Spark \\uae30\\ubc18 \\uc194\\ub8e8\\uc158 \\uad6c\\ucd95.\\n- \\ud06c\\ub85c\\uc2a4 \\ud391\\uc154\\ub110 \\ud300\\ub4e4\\uacfc \\ud611\\uc5c5\\ud558\\uc5ec \\uc0c8\\ub85c\\uc6b4 \\ub370\\uc774\\ud130 \\ucc98\\ub9ac \\uc694\\uad6c \\uc0ac\\ud56d\\uc744 \\ud6a8\\uacfc\\uc801\\uc73c\\ub85c \\ucda9\\uc871.\\n- \\ub370\\uc774\\ud130 \\uc778\\ud504\\ub77c \\uc2a4\\ucf00\\uc77c\\ub9c1\\uc744 \\uc704\\ud55c AWS \\ubc0f GCP \\ud074\\ub77c\\uc6b0\\ub4dc \\uc11c\\ube44\\uc2a4\\uc758 \\ud65c\\uc6a9.\\n\\n**\\ub124\\uc774\\ubc84** \\n**Senior Data Engineer** \\n2016\\ub144 1\\uc6d4 \\u2013 2020\\ub144 2\\uc6d4 \\n- \\uac80\\uc0c9 \\ub370\\uc774\\ud130 \\ubc0f \\uc0ac\\uc6a9\\uc790 \\ub85c\\uadf8 \\ub370\\uc774\\ud130\\ub97c \\ucc98\\ub9ac\\ud558\\ub294 ETL \\ud504\\ub85c\\uc138\\uc2a4\\ub97c \\ucd5c\\uc801\\ud654\\ud558\\uc5ec \\ucc98\\ub9ac \\uc2dc\\uac04\\uc744 40% \\ub2e8\\ucd95.\\n- Apache Hadoop \\ubc0f Kafka \\ud074\\ub7ec\\uc2a4\\ud130 \\uc124\\uc815 \\ubc0f \\uc720\\uc9c0\\ubcf4\\uc218 \\uacbd\\ud5d8.\\n- \\uae30\\uc5c5 KPI \\ud5a5\\uc0c1\\uc744 \\uc704\\ud55c \\uc608\\uce21 \\ubd84\\uc11d \\ubaa8\\ub378 \\uac1c\\ubc1c.\\n\\n**LG CNS** \\n**Data Analyst** \\n2013\\ub144 2\\uc6d4 \\u2013 2015\\ub144 12\\uc6d4 \\n- \\uace0\\uac1d \\ud589\\ub3d9 \\ubd84\\uc11d\\uc744 \\ud1b5\\ud574 \\ub9c8\\ucf00\\ud305 \\uc804\\ub7b5 \\uac1c\\uc120\\uc5d0 \\uae30\\uc5ec.\\n- \\ub370\\uc774\\ud130 \\uc2dc\\uac01\\ud654 \\ub3c4\\uad6c\\ub97c \\uc0ac\\uc6a9\\ud55c \\uc6d4\\uac04 \\ub9ac\\ud3ec\\ud2b8 \\uc0dd\\uc131, \\uacbd\\uc601\\uc9c4 \\ubcf4\\uace0 \\uc9c0\\uc6d0.\\n\\n---\\n\\n**\\ud559\\ub825**\\n\\n**\\uc11c\\uc6b8\\ub300\\ud559\\uad50** \\n\\ucef4\\ud4e8\\ud130\\uacf5\\ud559 \\ud559\\uc0ac \\n2009\\ub144 3\\uc6d4 \\u2013 2013\\ub144 2\\uc6d4\\n\\n---\\n\\n**\\uae30\\uc220 \\uc2a4\\ud0dd**\\n\\n- **\\ud504\\ub85c\\uadf8\\ub798\\ubc0d \\uc5b8\\uc5b4:** Python, Java, SQL\\n- **\\ub370\\uc774\\ud130 \\ucc98\\ub9ac:** Apache Spark, Hadoop, Kafka\\n- **\\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4:** MySQL, PostgreSQL, MongoDB\\n- **\\ud074\\ub77c\\uc6b0\\ub4dc \\uc11c\\ube44\\uc2a4:** AWS (S3, Lambda), GCP (BigQuery, Dataflow)\\n- **\\ub3c4\\uad6c \\ubc0f \\ud50c\\ub7ab\\ud3fc:** Git, Docker, Kubernetes, Airflow\\n\\n---\\n\\n**\\ud504\\ub85c\\uc81d\\ud2b8 \\ubc0f \\uc131\\uacfc**\\n\\n- **\\uc704\\uc131 \\ub370\\uc774\\ud130 \\ubd84\\uc11d \\uc2dc\\uc2a4\\ud15c \\uac1c\\ubc1c** \\n - SpaceX \\uc704\\uc131 \\ubc1c\\uc0ac \\ud6c4 \\uc218\\uc9d1\\ub418\\ub294 \\ubc29\\ub300\\ud55c \\uc591\\uc758 \\ud14c\\ub808\\uba54\\ud2b8\\ub9ac \\ub370\\uc774\\ud130\\ub97c \\uc2e4\\uc2dc\\uac04\\uc73c\\ub85c \\ucc98\\ub9ac\\ud558\\uc5ec \\ubd84\\uc11d \\uac00\\ub2a5\\ud55c \\ud615\\ud0dc\\ub85c \\ubcc0\\ud658.\\n - \\ud504\\ub85c\\uc81d\\ud2b8 \\ub9ac\\ub4dc\\ub85c\\uc11c \\ub2e4\\uae30\\ub2a5 \\ud300\\uc744 \\uad6c\\uc131\\ud558\\uc5ec \\ud611\\uc5c5\\uc744 \\ucd94\\uc9c4, \\ud504\\ub85c\\uc81d\\ud2b8 \\uae30\\ud55c \\ub0b4 \\uc131\\uacf5\\uc801\\uc73c\\ub85c \\ubc30\\ud3ec \\uc644\\ub8cc.\\n\\n- **\\uc0ac\\uc6a9\\uc790 \\ud589\\ub3d9 \\ud328\\ud134 \\uc608\\uce21 \\ubaa8\\ub378 \\uad6c\\ucd95** \\n - \\uace0\\uac1d \\uc694\\uad6c\\uc0ac\\ud56d\\uc744 \\ubc18\\uc601\\ud55c \\ubaa8\\ub378\\uc744 \\uad6c\\ucd95\\ud558\\uc5ec \\uc0ac\\uc6a9\\uc790\\uc758 \\ud589\\ub3d9 \\ud328\\ud134\\uc744 \\uc608\\uce21, \\ub9c8\\ucf00\\ud305 \\ucea0\\ud398\\uc778\\uc5d0 \\uc801\\uc6a9\\ud558\\uc5ec \\uc804\\ud658\\uc728 15% \\uc99d\\uac00 \\ub2ec\\uc131.\\n\\n---\\n\\n**\\uc790\\uaca9\\uc99d \\ubc0f \\uc218\\uc0c1**\\n\\n- AWS Certified Solutions Architect\\n- Cloudera Certified Data Engineer\\n- 2019\\ub144 \\ub370\\uc774\\ud130 \\uacf5\\ubaa8\\uc804 \\ucd5c\\uc6b0\\uc218\\uc0c1 \\u2013 '\\ub300\\uc6a9\\ub7c9 \\ub370\\uc774\\ud130 \\ubd84\\uc11d\\uc744 \\ud1b5\\ud55c \\ube44\\uc988\\ub2c8\\uc2a4 \\uc778\\uc0ac\\uc774\\ud2b8 \\ubc1c\\uad74'\\n\\n---\\n\\n**\\uae30\\ud0c0 \\ud65c\\ub3d9**\\n\\n- \\ub370\\uc774\\ud130 \\uc5d4\\uc9c0\\ub2c8\\uc5b4\\ub9c1 \\uad00\\ub828 \\uc0ac\\ub0b4 \\uc6cc\\ud06c\\uc20d \\uc8fc\\ucd5c \\ubc0f \\ubc1c\\ud45c\\n- AI & Big Data \\ucee8\\ud37c\\ub7f0\\uc2a4\\uc5d0\\uc11c '\\uc6b0\\uc8fc \\uc0b0\\uc5c5\\uc5d0\\uc11c\\uc758 \\ub370\\uc774\\ud130 \\ud65c\\uc6a9\\uc758 \\ubbf8\\ub798' \\uc8fc\\uc81c\\ub85c \\ubc1c\\ud45c\\n\\n---\\n\\n**\\uc5b8\\uc5b4**\\n\\n- \\ud55c\\uad6d\\uc5b4: \\ubaa8\\uad6d\\uc5b4\\n- \\uc601\\uc5b4: \\uc720\\ucc3d\\n\\n---\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"jd\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1320,\n \"samples\": [\n \"**\\ud68c\\uc0ac\\uba85: Perplexity**\\n\\n**\\uc9c1\\ubb34: Mid-level Database Administrator**\\n\\n**\\uc704\\uce58: \\uc11c\\uc6b8, \\ub300\\ud55c\\ubbfc\\uad6d**\\n\\n**\\uace0\\uc6a9 \\ud615\\ud0dc: \\uc815\\uaddc\\uc9c1**\\n\\n**\\ud68c\\uc0ac \\uc18c\\uac1c:**\\nPerplexity\\ub294 \\ucd5c\\ucca8\\ub2e8 \\uae30\\uc220\\uacfc \\ud601\\uc2e0\\uc801\\uc778 \\uc194\\ub8e8\\uc158\\uc744 \\ud1b5\\ud574 \\ub370\\uc774\\ud130\\ub97c \\uc774\\ud574\\ud558\\uace0 \\ud65c\\uc6a9\\ud558\\ub294 \\ubc29\\uc2dd\\uc744 \\uadfc\\ubcf8\\uc801\\uc73c\\ub85c \\ubcc0\\ud654\\uc2dc\\ud0a4\\uace0 \\uc788\\ub294 \\uc120\\ub450 \\uae30\\uc5c5\\uc785\\ub2c8\\ub2e4. \\uc6b0\\ub9ac\\ub294 \\uc815\\ubcf4\\uac00 \\uac00\\uc9c4 \\uc7a0\\uc7ac\\ub825\\uc744 \\ucd5c\\ub300\\ud654\\ud558\\uc5ec \\uace0\\uac1d\\uc774 \\ub354 \\ub098\\uc740 \\uacb0\\uc815\\uc744 \\ub0b4\\ub9b4 \\uc218 \\uc788\\ub3c4\\ub85d \\uc9c0\\uc6d0\\ud569\\ub2c8\\ub2e4.\\n\\n**\\uc9c1\\ubb34 \\uac1c\\uc694:**\\nPerplexity\\ub294 \\uc6b0\\ub9ac\\uc758 \\ub370\\uc774\\ud130 \\uc778\\ud504\\ub77c\\ub97c \\ucd5c\\uc801\\ud654\\ud558\\uace0 \\uc6b4\\uc601 \\ud6a8\\uc728\\uc131\\uc744 \\uadf9\\ub300\\ud654\\ud560 \\uc218 \\uc788\\ub294 \\uc911\\uae09 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uad00\\ub9ac\\uc790\\ub97c \\ucc3e\\uace0 \\uc788\\uc2b5\\ub2c8\\ub2e4. \\uc774 \\uc9c1\\ubb34\\ub294 \\uc6b0\\ub9ac\\uc758 \\uad00\\uacc4\\ud615 \\ubc0f \\ube44\\uad00\\uacc4\\ud615 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc2dc\\uc2a4\\ud15c\\uc744 \\ucc45\\uc784\\uc9c0\\uace0, \\uace0\\uae09 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uae30\\uc220\\uc744 \\uc0ac\\uc6a9\\ud558\\uc5ec \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc124\\uacc4, \\uad6c\\ud604 \\ubc0f \\uc720\\uc9c0\\ub97c \\uc218\\ud589\\ud558\\ub294 \\uc5ed\\ud560\\uc744 \\ub9e1\\uc2b5\\ub2c8\\ub2e4.\\n\\n**\\uc8fc\\uc694 \\uc5c5\\ubb34:**\\n\\n- \\ub2e4\\uc591\\ud55c \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc2dc\\uc2a4\\ud15c(MySQL, PostgreSQL, MongoDB \\ub4f1)\\uc5d0 \\ub300\\ud55c \\uc124\\uce58, \\uad6c\\uc131 \\ubc0f \\uc5c5\\uadf8\\ub808\\uc774\\ub4dc\\ub97c \\uc218\\ud589\\ud569\\ub2c8\\ub2e4.\\n- \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc131\\ub2a5\\uc744 \\ubaa8\\ub2c8\\ud130\\ub9c1\\ud558\\uace0, \\uc131\\ub2a5 \\ubcd1\\ubaa9 \\ud604\\uc0c1\\uc744 \\ud30c\\uc545\\ud558\\uc5ec \\ucd5c\\uc801\\ud654 \\uc804\\ub7b5\\uc744 \\uc81c\\uc548 \\ubc0f \\uc2e4\\ud589\\ud569\\ub2c8\\ub2e4.\\n- \\ub370\\uc774\\ud130 \\ubcf4\\uc548 \\ud504\\ub85c\\ud1a0\\ucf5c\\uc744 \\uac1c\\ubc1c \\ubc0f \\uac1c\\uc120\\ud558\\uc5ec \\ub370\\uc774\\ud130 \\ubb34\\uacb0\\uc131\\uacfc \\ubcf4\\uc548\\uc744 \\ubcf4\\uc7a5\\ud569\\ub2c8\\ub2e4.\\n- \\uc815\\uae30\\uc801\\uc778 \\ubc31\\uc5c5\\uacfc \\ubcf5\\uad6c \\uc808\\ucc28\\ub97c \\uc8fc\\ub3c4\\ud558\\uc5ec \\ub370\\uc774\\ud130 \\uc190\\uc2e4\\uc5d0 \\ub300\\ube44\\ud569\\ub2c8\\ub2e4.\\n- DBA \\ud300\\uacfc \\ud611\\ub825\\ud558\\uc5ec \\uc2dc\\uc2a4\\ud15c \\uac00\\uc6a9\\uc131\\uc744 \\uadf9\\ub300\\ud654\\ud558\\uace0, \\uace0\\uac00\\uc6a9\\uc131 \\ubc0f \\ubcf5\\uad6c \\uc194\\ub8e8\\uc158\\uc758 \\uc124\\uacc4\\ub97c \\uc8fc\\ub3c4\\ud569\\ub2c8\\ub2e4.\\n- \\uac1c\\ubc1c \\ud300\\uacfc \\ud611\\uc5c5\\ud558\\uc5ec \\ucffc\\ub9ac \\ucd5c\\uc801\\ud654, \\uc2a4\\ud0a4\\ub9c8 \\uc124\\uacc4 \\ubc0f \\ub370\\uc774\\ud130 \\uc544\\ud0a4\\ud14d\\ucc98 \\uc218\\ub9bd\\uc5d0 \\uae30\\uc5ec\\ud569\\ub2c8\\ub2e4.\\n- \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc2e0\\uaddc \\uae30\\uc220\\uacfc \\ud2b8\\ub80c\\ub4dc\\ub97c \\ubd84\\uc11d\\ud558\\uace0, \\uc5c5\\ubb34\\uc5d0 \\ubc18\\uc601\\ud560 \\ubc1c\\uc804 \\uac00\\ub2a5\\uc131\\uc744 \\uc5f0\\uad6c\\ud569\\ub2c8\\ub2e4.\\n\\n**\\uc9c0\\uc6d0 \\uc790\\uaca9:**\\n\\n**\\ud544\\uc218:**\\n- \\ucef4\\ud4e8\\ud130 \\uacf5\\ud559, \\uc815\\ubcf4 \\uae30\\uc220 \\ub610\\ub294 \\uad00\\ub828 \\ubd84\\uc57c\\uc758 \\ud559\\uc704\\n- 3~5\\ub144 \\uc774\\uc0c1 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uad00\\ub9ac \\uacbd\\ud5d8\\n- MySQL \\ubc0f PostgreSQL\\uc5d0 \\ub300\\ud55c \\uac15\\ub825\\ud55c \\uc774\\ud574\\ub3c4\\n- \\ub370\\uc774\\ud130 \\ubaa8\\ub378\\ub9c1 \\ubc0f \\uc124\\uacc4 \\uacbd\\ud5d8\\n- \\uad00\\uacc4\\ud615 \\ubc0f \\ube44\\uad00\\uacc4\\ud615 \\ub370\\uc774\\ud130\\ubca0\\uc774\\uc2a4 \\uc2dc\\uc2a4\\ud15c\\uc5d0 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\\ud504\\ub85c\\uadf8\\ub7a8\\n- \\ucd5c\\uc2e0 IT \\uc7a5\\ube44 \\ubc0f \\uc18c\\ud504\\ud2b8\\uc6e8\\uc5b4 \\uc81c\\uacf5\\n\\n**\\uc9c0\\uc6d0 \\ubc29\\ubc95:**\\n\\uad00\\uc2ec \\uc788\\ub294 \\uc9c0\\uc6d0\\uc790\\ub294 \\uc544\\ub798 \\uc774\\uba54\\uc77c\\ub85c \\ucd5c\\uc2e0 \\uc774\\ub825\\uc11c\\uc640 \\ud3ec\\ud2b8\\ud3f4\\ub9ac\\uc624(\\uc788\\ub294 \\uacbd\\uc6b0)\\ub97c \\ubcf4\\ub0b4\\uc8fc\\uc2dc\\uae30 \\ubc14\\ub78d\\ub2c8\\ub2e4. \\uc774\\uba54\\uc77c \\uc81c\\ubaa9\\uc5d0 [Mid-level Database Administrator \\uc9c0\\uc6d0]\\uc744 \\uba85\\uc2dc\\ud574 \\uc8fc\\uc138\\uc694.\\n\\n**\\ub9c8\\uac10\\uc77c:**\\n\\ud574\\ub2f9 \\uacf5\\uace0\\ub294 \\uc801\\ud569\\ud55c \\uc778\\uc7ac \\ucc44\\uc6a9 \\uc2dc \\uc870\\uae30 \\ub9c8\\uac10\\ub420 \\uc218 \\uc788\\uc73c\\ub2c8, \\ube60\\ub978 \\uc9c0\\uc6d0 \\ubd80\\ud0c1\\ub4dc\\ub9bd\\ub2c8\\ub2e4.\\n\\n\\uc774 \\ud601\\uc2e0\\uc801\\uc778 \\ud300\\uc5d0 \\ud569\\ub958\\ud558\\uc5ec \\ub370\\uc774\\ud130\\uc758 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