Summary
Manan Gandhi is a machine learning engineer and options trader with a decade of experience blending quantitative modeling, software development, and market-facing strategies. Currently a Senior Associate at Morgan Stanley after building automated hedging and ML-driven forecasting systems for index options at Deltamark, he combines production ML (ARIMA and other models) with hands-on options strategy design like delta-neutral and calendar spreads. His background includes data science work at Capital One—where he built an 83% accurate NLP standardization pipeline—and teaching experience at UCSD, reflecting both technical depth and mentoring ability. Based in Mumbai with an MS in Computer Science from UC San Diego and a BE from D. J. Sanghvi, he’s exploring ML engineer, data scientist, or quant roles that leverage his rare dual fluency in trading mechanics and applied machine learning.
10 years of coding experience
2 years of employment as a software developer
HSC, HSC at T P Bhatia College of Junior Science
Masters Computer Science, Masters Computer Science at UC San Diego Jacobs School of Engineering
ICSE, ICSE at Cambridge School
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Dwarkadas J. Sanghvi College of Engineering