Ridham User

At Pranjali Grow Cap, I build quantitative options research systems for NSE, BSE, MCX, and US derivatives markets. I identify high-performing setups through backtested PnL analysis across expiry, weekday, strike, and thousands of strategy parameters.

I reduced strategy research turnaround from approximately 28 hours to 10 seconds on 100M–1B+ row options datasets by replacing Excel reloads with incremental Python and Polars pipelines. I also built DuckDB-over-Parquet analytics and Streamlit dashboards that give traders near real-time analysis.

My projects include reconstructing NIFTY and SENSEX during the closing-auction blackout, reproducing deep-learning options-trading models, and building an NLP sentiment risk filter for index straddle selling. I work across Python, SQL, statistics, machine learning, and scalable market-data systems.