Versatile data professional with proven expertise in Python and SQL for building analytical models and predictive solutions. Skilled in designing data pipelines, ETL processes, and impactful visualizations that inform business decisions. Experienced in quantitative research and translating complex data into clear insights for diverse stakeholders. Actively seeking remote opportunities and open to relocation, committed to continuous learning and driving data-driven success.
Quantitative Trading, Python, Dagster
• Built a quantitative trading system that extracts, transforms and loads data, builds features, trains models, produces predictive signals and rebalances a portfolio once a day.
• Built a backtesting tools that considers trading fees, funding fees, slippage, forward-looking bias, survivorship bias market noise, liquidation risk etc
• Researched and backtested numerous market-neutral trading strategies.
Backtesting/Trading Software, Python
• Constructed ETL pipelines for data extraction, transformation, and loading from a number of crypto exchanges.
• Designed a robust backtesting platform for the evaluation of trading strategies.
• Conducted research on trading and risk management strategies.
• Managed data conversion and cleaning, transforming various data formats to SQL database.
• Used data visualization techniques to plot candlestick charts for effective interpretation of trading data.