MSc Artificial Intelligence @ ECE Paris | AI × FinTech
I came to AI through financial markets — and I build practical, data-driven tools at the intersection of the two, turning years of self-taught market analysis into Python, machine learning, and quantitative work.
- Trading strategy engineering — building and backtesting Smart Money Concepts strategies in Pine Script v5 (BTC, Gold, EUR/USD)
- Trade analytics — a Python (pandas + matplotlib) tool that turns raw trade logs into performance metrics: win rate, R-multiples, drawdown, equity curves
- Market data analysis — volatility, returns, and cross-asset correlation (BTC vs Nasdaq / Gold / DXY)
- Applied ML — coursework in computer vision, data preparation, and machine learning at ECE Paris
- Languages: Python · SQL · Pine Script v5
- Data & ML: pandas · matplotlib · NumPy
- Tools: Git · Jupyter · Notion
- LinkedIn: linkedin.com/in/dhruv-virani
- Email: dhruv.virani127@gmail.com
- ORCID: 0009-0007-6435-3904