Python Developer | Data Engineering & Quantitative Analytics
9+ years of engineering experience from the construction and commissioning of the Olkiluoto 3 EPR Nuclear Power Plant — from electrical supervision through team leadership (16 engineers, 150+ field staff) to I&C commissioning. Now I apply the same rigor to data pipelines, quantitative analysis, and backend development.
Financial Analysis Terminal — a quantitative analytics platform for futures and options markets.
- Automated data pipeline ingesting CFTC COT positioning data, CME futures prices, and options implied volatility
- Multi-factor regime classification engine (seasonality + positioning + volatility + CTA trend signals)
- Statistical computation layer: rolling z-scores, percentile ranks, 20/50/100/200 DMAs, ATR, Donchian channels
- Publication-quality branded chart system with dual-resolution output
- Comprehensive pytest suite covering data transformations, statistical calculations, and regime logic
- Stack: Python, pandas, NumPy, SciPy, matplotlib, yfinance, CFTC APIs
| Project | Description | Stack | Live Demo |
|---|---|---|---|
| Markets Dashboard | Interactive futures dashboard — COT reports, OHLC charts, seasonality overlays, day-trading statistics, cross-market correlations | Dash, Plotly, PostgreSQL | |
| Time Series Bias Predictor | ML-powered market research app — ct-xLSTM-TS model trained on AWS EC2 GPU instances | FastAPI, PyTorch, PostgreSQL, AWS, Docker | |
| AutoBizOps | Business workflow automation with background task queues and AI-powered content generation | Flask, Celery, Redis, PostgreSQL, Docker | |
| Expectancy Calculator | Trading strategy expectancy and Kelly Criterion calculator with interactive analysis | Streamlit, Plotly | Live |
| Performance Visualizer | Monte Carlo simulation — 100 possible futures for any trading strategy | Streamlit, Plotly, pandas | Live |
| Compounding Simulator | Long-term growth simulation with compounding, risk management, and drawdown analysis | Streamlit, Python | Live |
Python | pandas | NumPy | SciPy | PySpark | SQL | matplotlib | seaborn
FastAPI | Flask | SQLAlchemy | Streamlit | Celery | Redis
Dash | Plotly | PyTorch | Alembic | PostgreSQL
Docker | AWS (EC2, S3, SES, Elastic Beanstalk) | Git | GitHub Actions | Linux
- Data Scientist Professional — DataCamp (2025)
- Data Scientist Associate — DataCamp (2025)
- Databricks Fundamentals — DataCamp (2026)
- PySpark Fundamentals — DataCamp (2026)
- 100 Days of Code: Python Pro Bootcamp — Dr. Angela Yu
- Python and Flask Bootcamp — Jose Portilla / Pierian Training