Objective
Aspiring Data Scientist and AI Engineer with hands-on experience in building LLM-powered applications,
machine learning models, and full-stack systems. Passionate about solving real-world problems using data,
AI agents, and intelligent systems.
Education
BS in Data Science
IIT Madras (Online Degree)
2022 – Present
D.El.Ed
HPBOSE
2022 | 8.5 CGPA
Higher Secondary (PCM)
HPBOSE
2020 | 7.0
Matriculation
HPBOSE
2018 | 8.8 CGPA
🏆 69th Rank in State
Skills
💻 Programming
Python
JavaScript
HTML
CSS
SQL
📊 Data Science & ML
Pandas
NumPy
Scikit-learn
XGBoost
LightGBM
Matplotlib
Seaborn
🤖 AI / LLM
Google Gemini
FastAPI
RAG
Vector Search
Prompt Engineering
🌐 Web Development
Flask
Vue.js
Firebase
Redis
Celery
🛠️ Tools & Platforms
Git
Vercel
Cloudflare
Jupyter
Google Colab
Projects
AI Data Analyst Agent
FastAPI · Google Gemini · Python · Vercel
- Built a production-ready FastAPI service that converts natural language questions into executable Python analysis code
- Implemented a two-stage LLM pipeline with retry logic, robust JSON parsing, and fallback responses for reliable execution
- Supports CSV, PDF, text, and image uploads; deployed on Vercel
Quiz Master – Full-Stack Learning Platform
Flask · Vue.js · Redis · Celery · SQLite
- Developed a complete admin-student quiz platform with timed quizzes, performance analytics, and CSV export
- Integrated Redis caching and Celery background jobs for automated reports and email notifications
- Built real-time task progress tracking and automated HTML email reports
Pahads.in – Himalayan Wellness E-commerce
Vue.js · Firebase · Cloudflare
- Designed and developed a live e-commerce website selling Himalayan wellness and food products
- Handled complete frontend with Vue.js, backend & authentication with Firebase, and deployment on Cloudflare
- Live website: pahads.in
Retail Inventory Optimization & Demand Forecasting (BDM Capstone)
Python · Pandas · Scikit-learn · Matplotlib
- Selected a local hardware shop and collected daily sales & inventory data myself for 3 months (2,800+ records)
- Identified major problems: heavy deadstock of tiles (trend-sensitive product) and sharp winter demand drop (snow region – construction work stops)
- Built a linear regression stock predictor to recommend optimal inventory levels
- Delivered practical suggestions (reduce Category-C products, seasonal procurement cuts) projected to free ₹4.5L working capital and reduce deadstock by 25%
- Published 3 detailed reports (Proposal, Mid-term, Final) on GitHub
Engage2Value – Purchase Prediction
Python · XGBoost · LightGBM · Random Forest
- Predicted session-level purchase value from highly sparse multi-session user behavior data (1 lakh+ records)
- Handled severe class imbalance through extensive feature engineering and model tuning
RAG-based Organizational AI Assistant
FastAPI · Vector Search · LLM
- Built a Retrieval-Augmented Generation system that answers questions strictly from organizational documents/data
- Used embeddings + similarity search to ground LLM responses and reduce hallucination
- Exposed the system via FastAPI for easy integration
Experience
Math Teacher
School
1 Year
- Taught mathematics and developed strong communication, analytical, and mentoring skills
Achievements & Activities
🏆 Achievements
- Secured 69th Rank in HPBOSE Matriculation Examination
- Awarded Best Shooter (State Level, NCC TSC Camp)
- Student of the Year (School & College)
🎯 Activities
- Participated in multiple NCC camps (CATC, TSC) – shooting, obstacle courses, map reading
- Stage anchoring and event hosting
- Represented school and college in Hockey and Cricket
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