Summary
Nakul Thakare is a finance-focused data scientist and quantitative researcher with 8 years of experience, currently managing Deals, Financial Analytics and Derivatives at PwC in San Francisco. He blends a Master’s in Quantitative Finance from UCLA Anderson, a B.Eng. from BITS Pilani, and completion of all three CFA levels to solve complex risk and portfolio problems using machine learning and advanced analytics. His background spans data engineering, quantitative equity research, and practical model deployment, including a capstone that combined fuzzy clustering and ensemble methods to drive regime-aware portfolio allocation. Known for marrying rigorous mathematical approaches with business-facing analytics, he has a track record of improving downside protection and allocation robustness in multi-asset strategies.
8 years of coding experience
2 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Cleared Level III, Cleared Level III at CFA Institute
Master's degree, Quantitative Finance, Master's degree, Quantitative Finance at UCLA Anderson School of Management
Savitribai Phule Pune University
English, Marathi, Hindi, German