- 🎓 B.Tech, Metallurgical & Materials Engineering @ NIT Trichy (2022–2026)
- 💼 Consultant @ WorldQuant Brain
- 🧪 Currently building ML/MLOps apps and trading models with Python
- 🔍 Interested in Data Science, Finance, MLOps, and AI Engineering
- 📫 Reach me at shiwangupadhyay05@gmail.com
MLOps pipeline with MongoDB, AWS (S3, EC2), Docker, GitHub Actions.
Real-time ML predictions with FastAPI frontend.
Achieved 90% accuracy using Random Forest Classifier & FastAPI.
Developed a full-stack ML web app to predict insurance premium categories (Low/Medium/High) based on personal and financial attributes. Built a responsive frontend using Streamlit for real-time user interaction, Designed a RESTful API using FastAPI to serve a trained machine learning model.
Real-time screener using FastAPI and Yahoo Finance API for ProfNITT.
Supports multi-timeframe RSI signals across 25+ currency pairs.
Developed a time series forecasting model using SARIMAX to predict monthly maximum temperatures in Madrid for 2024 based on historical climate data.
Performed data preprocessing, stationarity checks, seasonal decomposition, and hyperparameter tuning to optimize model accuracy (AIC-based).
- 📊 Consultant at WorldQuant Brain — building quantitative finance strategies
- 🤖 Manager, Quants @ ProfNITT — led algo trading strategy design
- 🎨 Manager, Ambience @ Pragyan’24 (Tech Fest NIT Trichy) — themed “Chronicles of Time”
- 🏐 Gold Medalist in Volleyball (Aaveg '23)
- ♟️ Chess & Cricket enthusiast | Investment Research & Geopolitics
I believe well-structured data, like good strategy, beats brute force every time.
I'm always up for a challenge in analytics, trading, or a game of chess.