Shardul Vaidya
Research Associate @Strategy&
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WORK HISTORY
Research Associate @Strategy&
Extending existing research from Prof. deMiguel to analyse fund performance during market shocks using natural disasters as identification events, combining behavioral finance insights with machine learning to identify market inefficiencies for 30 years of fund data (n = across 8700+ shareclasses- Developed systematic trading strategy with Prof. Suarez-Lledo using LSTM neural networks for state identification, implementing robust validation framework with transaction cost modeling Tech Stack- Quantitative Analysis: R (tidyverse, caret), Python (NumPy, pandas)- Machine Learning: XGBoost, Random Forest, Elastic Nets- Deep Learning: LSTM, TensorFlow, PyTorch, sequence modeling with attention mechanisms- High-Performance Computing: Parallel processing, GPU acceleration- Financial Analytics: Factor modeling, time-series analysis, market microstructure
EDUCATION
London Business School
Master of Business Administration - MBA
Indian Institute of Technology, Bombay
Bachelor’s Degree, Chemical Engineering
IESE Business School
Master of Business Administration - MBA
SKILLS
ABOUT SHARDUL VAIDYA
Product & AI Leader | Quantitative Research | Healthcare Technology Quantitative…
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