B.Tech in CSE (Data Science) at UPES. Specializing in Machine Learning & Full-Stack Systems. Applying Quantitative Analytics to Financial Markets. AI & Data Analytics Intern at Xebia & Infera Tech.
■ Projects
Quant Analytics Tool
Quantitative Financial Research Platform
FastAPI, React, PostgreSQL, Pandas
Simulated momentum trading achieving 0.81 Sharpe Ratio
FastAPI, React, PostgreSQL, Pandas
Simulated momentum trading achieving 0.81 Sharpe Ratio
SEC Filing AI
GenAI RAG Platform for Financial Reports
OpenAI API, Supabase, pgvector, Python
Engineered parallel hybrid search to eliminate hallucinations
OpenAI API, Supabase, pgvector, Python
Engineered parallel hybrid search to eliminate hallucinations
Market Risk Analysis
Institutional Liquidity Analysis
Python, StatsModeling
Assessed risk across equity sectors mapping volatility phases
Python, StatsModeling
Assessed risk across equity sectors mapping volatility phases
AI Task Manager
Intelligent Workforce Management System
GenAI Agents, Python
Developed during Xebia Internship
GenAI Agents, Python
Developed during Xebia Internship
HR Analytics Dashboard
Business Intelligence Visualization
Power BI, Data Processing
Comprehensive workforce metrics reporting
Power BI, Data Processing
Comprehensive workforce metrics reporting
Experience
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Xebia - AI & Data Analytics Intern
- Architected a robust full-stack RBAC (Role-Based Access Control) application.
- Applied Antigravity and advanced AI agents to process and analyze over 10,000+ data points.
- Integrated LLMs for intelligent workforce management and automated task allocation workflows.
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Infera Technologies - Data Science Intern
- Engineered high-performance time-series forecasting models using CatBoost and LightGBM.
- Analyzed complex datasets to extract actionable business intelligence and optimize reporting.
- Achieved an 84% accuracy rate in predictive modeling across key operational metrics.
Skills
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Languages
Python, R, SQL, Java, C, JavaScript -
ML & Data Science
Scikit-learn, TensorFlow, CatBoost, LightGBM, Prophet, Optuna, Pandas, NumPy -
Quant & Stats
Time-Series Analysis, Rolling Volatility, Risk Modeling, Backtesting, OHLCV Processing -
Web, DB & Visualization
FastAPI, React, PostgreSQL, pgvector, Power BI, Streamlit, Plotly, Tableau -
Tools
AWS SageMaker, Git, OpenAI API, Gemini
Education & Leadership
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UPES (B.Tech(H) in CSE – Data Science)
Minor: Int. Business -
UPES ACM (Former Vice-Chairperson)
Directed '100 Days of Code' initiative.
LeetCode
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