SOURISH DEY

Bhubaneswar, Odisha — +91-9064648823 — sourish713321@gmail.com
linkedin.com/in/sourish-dey-20b170206 — github.com/sourishdey2005 — linktr.ee/Sourishdey
Professional Summary
Highly motivated Cloud and Data Science Engineer with 3+ years of experience in building intelligent, scalable, and
secure digital ecosystems. Proficient in AWS, MLOps, Infrastructure as Code (IaC), Zero Trust Security, and Kubernetes. Proven success in architecting microservices, automating CI/CD pipelines, deploying AI/ML models,
and transforming data into predictive analytics, achieving up to 30% performance improvement. Recognized
for a growth mindset, cross-functional collaboration, and a commitment to continuous technical learning.
Technical Skills
Cloud & DevOps (IaC): AWS (EC2, S3, Lambda, RDS, IAM), GCP, Azure, Terraform, Kubernetes, Docker, Jenkins,
GitHub Actions, CI/CD, DevSecOps, Ansible, YAML, Bash, Git
AI/ML & Data Science: TensorFlow, Keras, Scikit-learn, OpenCV, Flask, FastAPI, MediaPipe, Pandas, NumPy,
XGBoost, SHAP, Plotly, Streamlit
Programming & Databases: Python, C++, Java, SQL, HTML/CSS, REST APIs
Automation & Tools: UiPath, N8N, Postman, Power BI, Excel, Figma, Canva, MATLAB
Competitive Coding: LeetCode (Rank 680,467)
Core Competencies: Cloud Architecture, MLOps, Model Deployment, AI/ML Implementation, Predictive Analytics, Zero Trust Security, Agile Collaboration, Data-Driven Decision-Making, Strategic Problem Solving, Risk Mitigation
Experience
Data Science Intern — Uptricks Services Pvt. Ltd. Oct 2025 – Present
• Applied core Data Science methodologies (modeling, feature engineering, validation) using Python on datasets
of 50,000+ rows to address business challenges.
• Developed predictive models generating quantifiable forecasts, improving decision-making accuracy by 25%.
Data Analyst Intern — Overload Ware Labs AI Sep 2025 – Present
• Conducted Exploratory Data Analysis (EDA) on 100K+ records, identifying trends, anomalies, and correlations.
• Utilized visualization and statistical techniques to produce actionable insights, increasing reporting efficiency by
30%.
Research Intern — IISER Thiruvananthapuram Apr 2025 – Present
• Spearheaded federated learning authentication research for IoT devices, enhancing data confidentiality by 38%.
• Architected AES-encrypted ESP32 communications using MbedTLS, ensuring 99.7% data integrity and sub0.2 second latency.
• Published a research paper proposing a secure data aggregation framework.
Zero Trust Cloud Security Intern — Zscaler Jan 2025 – Mar 2025 (Remote)
• Completed Zero Trust Cloud Security Virtual Internship; implemented IAM policies, access controls, and cloud
security measures reducing unauthorized access risk by 45%.
• Analyzed threats, vulnerabilities, and mitigation strategies using SIEM tools.
RPA Developer — UiPath KIIT Chapter Apr 2025 – Present
• Engineered robotic workflows automating EC2 provisioning and S3 synchronization, reducing manual cloud
operations by 70%.
• Streamlined API integration and Python automation for 50+ concurrent operations with real-time error recovery.
Operations Lead — KITPD2S Society Sep 2024 – Present
• Directed 5+ multidisciplinary teams to deliver 10+ IoT/ML prototypes with 100% project success rate.
• Enhanced operational efficiency using JIRA and OKR alignment, reducing bottlenecks by 60%.
Marketing Executive — CyberVault KIIT Sep 2024 – Present
• Conceptualized cybersecurity campaigns reaching 10,000+ students across 3 institutes.
• Automated campaign workflows via N8N, saving 30% time and improving engagement by 22%.
Cloud Executive — Coding Ninjas KIIT Jul 2024 – Present
• Designed and orchestrated AWS microservice deployments (Lambda, API Gateway, S3), accelerating build
cycles by 55%.
1
• Implemented Terraform-based IaC achieving 100% reproducible cloud infrastructure.
• Facilitated 6+ technical workshops mentoring 100+ students in cloud technologies.
Projects
Veda-Motrix AI: Autonomous Vehicle Management Ecosystem Python, FastAPI, AWS, TensorFlow
• Developed multi-tenant AI-powered vehicle management system with predictive maintenance and anomaly detection.
• Integrated real-time telemetry, cloud microservices, and AI-driven decision modules, optimizing fleet operations
by 30%.
Vajra AI: Smart Industrial Automation Platform Python, OpenCV, Flask, AWS
• Engineered computer vision-based automation platform reducing manual inspection by 60%.
• Deployed cloud dashboards for real-time monitoring and reporting.
FaceMeshX: Real-Time Facial Tracker Python, OpenCV, MediaPipe
• Developed 60 FPS facial tracking model with 468-point landmarks, achieving 95% recognition accuracy.
• Optimized GPU inference, reducing latency by 45%.
Customer Churn Prediction System Python, XGBoost, Pandas
• Achieved 86.2% accuracy and 0.81 F1-score on 7,000+ customer records.
• Applied SHAP explainability to derive actionable retention insights.
AWS EC2 Cloud Automation Bot UiPath, Terraform, AWS SDK
• Automated EC2 provisioning with tagging, reducing provisioning time by 70%.
• Supported 50+ concurrent cloud operations with enterprise-grade scalability.
YouTube Trend Analyzer Python, Plotly, Web Scraping
• Analyzed 50,000+ videos to extract engagement patterns and create interactive dashboards, improving insight
generation by 40%.
Stock Forecasting & Anomaly Detection (Mercedes-Benz) Python, Prophet
• Forecasted MBG.DE stock trends with 92% accuracy, detecting 15+ volatility anomalies.
ICICI vs SBI NIFTY Stock Analysis (2011–2021) Econometrics, Python, Time Series
• Performed decade-long analysis using econometrics and time-series, providing insights into ESG scores, digital
banking, and market behavior.
Uber Ride Analysis Platform Python, ML/DL, Statistical Modeling
• Developed analytics platform analyzing 148,000+ Uber bookings across 50+ EDAs; optimized pricing and churn
prediction.
Formula 1 Historical Data Analysis (1950–2023) Python, EDA, Plotly, Seaborn
• Conducted EDA on 70+ years of F1 data, designing advanced visualizations for trend and performance analysis.
Certifications
• AWS Educate: Machine Learning Foundations, Cloud Essentials
• Google Cloud: Terraform, GKE, Load Balancing, Generative AI, Cybersecurity
• Linux Foundation: LFD110, LFS167, LFS158, LFS151
• IBM Cognitive Class: ML, DL, Quantum, Big Data, Containers, Microservices
• Cisco: IoT, Cybersecurity, Networking, Data Analytics
• Infosys + Skillsoft: DevSecOps, Docker, CI/CD, Blockchain
• MATLAB@UCL: Data Analysis and Processing
• freeCodeCamp: Data Analysis with Python, Machine Learning with Python
• Udemy: Big Data Engineering Bootcamp with GCP, Azure Cloud
• Scaler, Great Learning, Udacity, OPSWAT Academy, Internship Studio, Forage
Publications
• Quantum Computing for Nuclear Fusion — IJFMR, 2024
• Smart Breathe: IoT Air Quality System — IJFMR, 2024
• IoT-Based Smart Traffic Monitoring — IJFMR, 2025
2
Patent
Patent ID: 450888-001 — AI-POWERED SMART AGRICULTURE DRONE
Filed for autonomous drone system leveraging AI for precision agriculture, crop monitoring, and predictive yield
analysis.
Patent ID: 450888-001 — UNDERWATER POWER GENERATOR
Filed for renewable underwater kinetic energy generator using magneto-inductive turbine systems.
Education
Kalinga Institute of Industrial Technology (KIIT) Jul 2023 – Dec 2027 (Expected)
B.Tech. in Computer Engineering
Relevant Coursework: Data Structures, Algorithms, Operating Systems, DBMS, OOP, Networks, Probability, Statistics
Hem Sheela Model School
Senior Secondary (AISSCE) — Science, 2023 (Score: 91%)
Secondary (AISSE) — 2020 (Score: 98%)
Languages
English (Professional), Hindi (Professional), Bengali (Native)
3 build on this

components/experience-timeline.js

@@ -0,0 +1,165 @@
+class ExperienceTimeline extends HTMLElement {
+  connectedCallback() {
+    this.attachShadow({ mode: 'open' });
+    this.shadowRoot.innerHTML = `
+      <style>
+        .timeline {
+          position: relative;
+          max-width: 1200px;
+          margin: 0 auto;
+        }
+        .timeline::after {
+          content: '';
+          position: absolute;
+          width: 6px;
+          background: linear-gradient(to bottom, #3b82f6, #10b981);
+          top: 0;
+          bottom: 0;
+          left: 50%;
+          margin-left: -3px;
+          border-radius: 10px;
+        }
+        .container {
+          padding: 10px 40px;
+          position: relative;
+          background-color: inherit;
+          width: 50%;
+        }
+        .container::after {
+          content: '';
+          position: absolute;
+          width: 25px;
+          height: 25px;
+          right: -17px;
+          background-color: white;
+          border: 4px solid #3b82f6;
+          top: 15px;
+          border-radius: 50%;
+          z-index: 1;
+        }
+        .left {
+          left: 0;
+        }
+        .right {
+          left: 50%;
+        }
+        .left::before {
+          content: " ";
+          height: 0;
+          position: absolute;
+          top: 22px;
+          width: 0;
+          z-index: 1;
+          right: 30px;
+          border: medium solid #e5e7eb;
+          border-width: 10px 0 10px 10px;
+          border-color: transparent transparent transparent #e5e7eb;
+        }
+        .right::before {
+          content: " ";
+          height: 0;
+          position: absolute;
+          top: 22px;
+          width: 0;
+          z-index: 1;
+          left: 30px;
+          border: medium solid #e5e7eb;
+          border-width: 10px 10px 10px 0;
+          border-color: transparent #e5e7eb transparent transparent;
+        }
+        .right::after {
+          left: -16px;
+        }
+        .content {
+          padding: 20px 30px;
+          background-color: white;
+          position: relative;
+          border-radius: 6px;
+          box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1);
+        }
+        .content h3 {
+          font-weight: 600;
+          margin-bottom: 0.5rem;
+        }
+        .content p {
+          margin-bottom: 0.5rem;
+          color: #4b5563;
+          font-size: 0.875rem;
+        }
+        .tag {
+          display: inline-block;
+          padding: 0.25rem 0.5rem;
+          font-size: 0.75rem;
+          border-radius: 9999px;
+          background-color: #e5e7eb;
+          margin-right: 0.5rem;
+          margin-bottom: 0.5rem;
+        }
+        @media screen and (max-width: 768px) {
+          .timeline::after {
+            left: 31px;
+          }
+          .container {
+            width: 100%;
+            padding-left: 70px;
+            padding-right: 25px;
+          }
+          .container::before {
+            left: 60px;
+            border: medium solid #e5e7eb;
+            border-width: 10px 10px 10px 0;
+            border-color: transparent #e5e7eb transparent transparent;
+          }
+          .left::after, .right::after {
+            left: 15px;
+          }
+          .right {
+            left: 0%;
+          }
+        }
+      </style>
+      <div class="timeline">
+        <!-- Uptricks -->
+        <div class="container left">
+          <div class="content">
+            <h3>Data Science Intern - Uptricks Services</h3>
+            <p class="text-sm text-gray-500">Oct 2025 - Present</p>
+            <p>Developed predictive models improving decision-making accuracy by 25% on 50K+ row datasets.</p>
+            <div>
+              <span class="tag">Python</span>
+              <span class="tag">Pandas</span>
+              <span class="tag">ML</span>
+            </div>
+          </div>
+        </div>
+        <!-- Zscaler -->
+        <div class="container right">
+          <div class="content">
+            <h3>Zero Trust Security Intern - Zscaler</h3>
+            <p class="text-sm text-gray-500">Jan 2025 - Mar 2025</p>
+            <p>Implemented IAM policies reducing unauthorized access risk by 45%.</p>
+            <div>
+              <span class="tag">Security</span>
+              <span class="tag">IAM</span>
+              <span class="tag">SIEM</span>
+            </div>
+          </div>
+        </div>
+        <!-- Coding Ninjas -->
+        <div class="container left">
+          <div class="content">
+            <h3>Cloud Executive - Coding Ninjas KIIT</h3>
+            <p class="text-sm text-gray-500">Jul 2024 - Present</p>
+            <p>Designed AWS microservices accelerating build cycles by 55% with Terraform IaC.</p>
+            <div>
+              <span class="tag">AWS</span>
+              <span class="tag">Terraform</span>
+              <span class="tag">CI/CD</span>
+            </div>
+          </div>
+        </div>
+      </div>
+    `;
+  }
+}
+customElements.define('experience-timeline', ExperienceTimeline);

index.html

@@ -31,8 +31,8 @@
                     <div class="text-xl md:text-2xl text-gray-600">
                         <span id="typewriter" class="font-medium"></span>
                     </div>
-                    <p class="text-gray-600 max-w-lg">Cloud & Data Science Engineer with expertise in AI/ML, DevOps, and Cloud Computing. Passionate about building scalable solutions and automating workflows.</p>
-                    <div class="flex gap-4">
+                    <p class="text-gray-600 max-w-lg">Cloud & Data Science Engineer with 3+ years experience in AWS, MLOps, and Kubernetes. I architect secure, scalable digital ecosystems and transform data into predictive insights.</p>
+<div class="flex gap-4">
                         <a href="#contact" class="px-6 py-3 rounded-lg bg-gradient-to-r from-blue-600 to-teal-500 text-white font-medium hover:shadow-lg transition-all duration-300">Contact Me</a>
                         <a href="#projects" class="px-6 py-3 rounded-lg border-2 border-blue-600 text-blue-600 font-medium hover:bg-blue-50 transition-all duration-300">View Projects</a>
                     </div>
@@ -78,10 +78,17 @@
             </div>
         </div>
     </section>
+    <!-- Experience Section -->
+    <section id="experience" class="py-20 bg-gray-50 dark:bg-gray-800">
+      <div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
+        <h2 class="text-3xl font-bold text-center mb-12" data-aos="fade-up">Professional Experience</h2>
+        <experience-timeline></experience-timeline>
+      </div>
+    </section>
 
     <!-- Education Section -->
-    <section id="education" class="py-20 bg-gray-50 dark:bg-gray-800">
-        <div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
+    <section id="education" class="py-20 bg-white dark:bg-gray-900">
+<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
             <h2 class="text-3xl font-bold text-center mb-12" data-aos="fade-up">Education</h2>
             <div class="space-y-8">
                 <div class="card p-6" data-aos="fade-up" data-aos-delay="100">
@@ -107,31 +114,31 @@
                     <div class="text-blue-500 mb-3">
                         <i data-feather="cloud" class="w-8 h-8 mx-auto"></i>
                     </div>
-                    <h3 class="font-bold mb-2">Cloud Computing</h3>
-                    <p class="text-sm text-gray-600 dark:text-gray-300">AWS, GCP, Azure, Kubernetes</p>
+                    <h3 class="font-bold mb-2">Cloud & DevOps</h3>
+                    <p class="text-sm text-gray-600 dark:text-gray-300">AWS, Terraform, Kubernetes, CI/CD, DevSecOps</p>
                 </div>
                 <div class="card p-6 text-center" data-aos="zoom-in" data-aos-delay="200">
                     <div class="text-teal-500 mb-3">
                         <i data-feather="cpu" class="w-8 h-8 mx-auto"></i>
                     </div>
-                    <h3 class="font-bold mb-2">Machine Learning</h3>
-                    <p class="text-sm text-gray-600 dark:text-gray-300">TensorFlow, PyTorch, Scikit-learn</p>
+                    <h3 class="font-bold mb-2">AI/ML & MLOps</h3>
+                    <p class="text-sm text-gray-600 dark:text-gray-300">TensorFlow, OpenCV, FastAPI, Model Deployment</p>
                 </div>
                 <div class="card p-6 text-center" data-aos="zoom-in" data-aos-delay="300">
                     <div class="text-purple-500 mb-3">
-                        <i data-feather="code" class="w-8 h-8 mx-auto"></i>
+                        <i data-feather="lock" class="w-8 h-8 mx-auto"></i>
                     </div>
-                    <h3 class="font-bold mb-2">DevOps</h3>
-                    <p class="text-sm text-gray-600 dark:text-gray-300">CI/CD, Docker, Terraform</p>
+                    <h3 class="font-bold mb-2">Zero Trust Security</h3>
+                    <p class="text-sm text-gray-600 dark:text-gray-300">IAM, Encryption, SIEM, Risk Mitigation</p>
                 </div>
                 <div class="card p-6 text-center" data-aos="zoom-in" data-aos-delay="400">
                     <div class="text-pink-500 mb-3">
-                        <i data-feather="database" class="w-8 h-8 mx-auto"></i>
+                        <i data-feather="activity" class="w-8 h-8 mx-auto"></i>
                     </div>
-                    <h3 class="font-bold mb-2">Data Engineering</h3>
-                    <p class="text-sm text-gray-600 dark:text-gray-300">Spark, Airflow, BigQuery</p>
+                    <h3 class="font-bold mb-2">RPA & Automation</h3>
+                    <p class="text-sm text-gray-600 dark:text-gray-300">UiPath, N8N, Python, Cloud Automation</p>
                 </div>
-            </div>
+</div>
         </div>
     </section>
 
@@ -270,9 +277,9 @@
             </div>
         </div>
     </section>
-
     <script src="components/navbar.js"></script>
-    <script>
+    <script src="components/experience-timeline.js"></script>
+<script>
       feather.replace();
     </script>
     <script src="https://huggingface.co/deepsite/deepsite-badge.js"></script>

script.js

@@ -42,8 +42,8 @@ document.addEventListener('DOMContentLoaded', function() {
   // Typewriter effect
   const typewriterElement = document.getElementById('typewriter');
   if (typewriterElement) {
-    const roles = ['Cloud Engineer', 'Data Scientist', 'MLOps Specialist', 'AI/ML Engineer'];
-    let roleIndex = 0;
+    const roles = ['Cloud Architect', 'MLOps Engineer', 'AI Researcher', 'Data Scientist', 'DevSecOps Expert', 'RPA Developer'];
+let roleIndex = 0;
     let charIndex = 0;
     let isDeleting = false;