Kumaria commited on
Commit
0cc9183
·
verified ·
1 Parent(s): 11ceb3f

Upload 6 files

Browse files
knowledge_base/achievements.txt ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ Achievement: Silver Medalist in Mathematics
2
+ Institution: University of Delhi
3
+ Details: Awarded for outstanding academic performance in Mathematics.
4
+
5
+ Certification: Microsoft Certified: Azure AI Engineer Associate
6
+ Details: Validated expertise in AI solutions on Microsoft Azure.
knowledge_base/experience.txt ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Experience: Business Analyst
2
+ Organization: Rebel Foods
3
+ Details:
4
+ - Worked on data-driven decision-making for business operations.
5
+ - Conducted analysis to optimize processes and improve efficiency.
6
+ - Collaborated with cross-functional teams to align strategy with execution.
7
+
8
+ Experience: AI Engineer
9
+ Organization: Akaike Technologies
10
+ Details:
11
+ - Designed and deployed machine learning models for client projects.
12
+ - Focused on AI-driven solutions for predictive analytics and automation.
13
+ - Contributed to end-to-end model lifecycle: data preprocessing, training, and deployment.
14
+
15
+ Experience: Academic and Project Work
16
+ Details:
17
+ - Built applications and dashboards for college-level tournaments and analytics.
18
+ - Conducted exploratory data analysis (EDA) on large datasets.
19
+ - Designed case studies and teaching notes for MBA interview preparation.
20
+ - Created Python scripts and Excel frameworks for prioritization and decision-making.
knowledge_base/goals.txt ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ Short-Term Goals:
2
+ - Transition into Product Management roles.
3
+ - Gain experience in Strategy Consulting.
4
+
5
+ Long-Term Goals:
6
+ - Progress towards leadership positions in technology.
7
+ - Achieve role of Chief Technology Officer (CTO).
knowledge_base/profile.txt ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ Name: Chaitanya Kumaria
2
+ Education: PGDM in Information Management and Analytics from SPJIMR, BS. Data Science from IIT Madras, B.Sc. Mathematics from University of Delhi
3
+ Skills: Python, Data Science, Machine Learning, Data Analysis, Data Visualization, Data Mining, Data Engineering, Data Science
4
+ Interests: Data Science, Strategy Consulting, Data Analysis,Sports Analytics, Financial Analytics
5
+ Projects: Developed application for college Div wars tournament, Power BI Dashboard for college
6
+ Career Goals: Product Management, Strategy Consulting ( Short term) and CTO (Long term)
7
+ Achievements: Silver Medalist in Mathematics from University of Delhi,
8
+ Certifications: Microsoft Certified: Azure AI Engineer Associate
knowledge_base/projects.txt ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ Project: College Div Wars Tournament Application
2
+ Description: Developed an application to manage and track tournament progress.
3
+ Tools Used: Python, SQL
4
+ Impact: Streamlined event management and improved participant experience.
5
+
6
+ Project: Power BI Dashboard for College
7
+ Description: Designed interactive dashboards for academic and extracurricular data.
8
+ Tools Used: Power BI, Excel
9
+ Impact: Enhanced decision-making and visualization of key metrics.
knowledge_base/skills.txt ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Skill: Python
2
+ Level: Advanced
3
+ Used In: Data analysis, ML projects, automation scripts
4
+
5
+ Skill: Data Science
6
+ Level: Advanced
7
+ Used In: Predictive modeling, analytics, case studies
8
+
9
+ Skill: Machine Learning
10
+ Level: Advanced
11
+ Used In: Classification, regression, model deployment
12
+
13
+ Skill: Data Analysis
14
+ Level: Advanced
15
+ Used In: Business case studies, sports analytics, financial analytics
16
+
17
+ Skill: Data Visualization
18
+ Level: Intermediate
19
+ Used In: Power BI dashboards, strategic presentations
20
+
21
+ Skill: Data Mining
22
+ Level: Intermediate
23
+ Used In: Extracting insights from structured/unstructured datasets
24
+
25
+ Skill: Data Engineering
26
+ Level: Intermediate
27
+ Used In: Building pipelines, preprocessing large datasets