Vishwesh Patial

Data Scientist and Analyst with a Master's in Data Science and hands-on experience building production data pipelines, machine learning models, and analytics dashboards in a quantitative trading environment. Strong in Python, SQL, statistical analysis, and end-to-end ML workflows from ingestion through deployment. Skilled at turning ambiguous business questions into measurable, tested solutions and communicating results to technical and non-technical stakeholders.

Python Developer / Data Analyst (Quantitative Research) at Pranjali Growcap Limited (2025-09 – Present)

• Built and maintained Python data pipelines processing over 2 million rows of historical market data daily, automating ingestion, cleaning, and validation and cutting manual data preparation time by 60%.
• Backtested 40+ trading strategies across multiple market regimes using Pandas and NumPy, evaluating profitability, maximum drawdown, win rate, and risk-adjusted returns to guide capital allocation decisions.
• Researched and engineered 30+ features spanning trend, momentum, volatility, and mean-reversion signals, applying statistical testing and feature selection to cut false signals by 25%.
• Optimized strategy parameters through systematic grid search and data-driven experimentation, improving out-of-sample consistency and raising backtest Sharpe ratio from 0.8 to 1.4.
• Designed interactive Excel and Python dashboards tracking live PnL, exposure, and performance KPIs, reducing reporting turnaround from 3 hours to under 15 minutes for senior analysts.
• Monitored live trade server operations on Linux and resolved real-time execution and data-integrity issues, sustaining 99% uptime during market hours across 8 production deployments.

M.Sc. in Data Science and Big Data Analytics – MIT World Peace University, Pune (2025-07)

B.Sc. in Mathematics – Siddharth Government Degree College, Himachal Pradesh (2023-07)