Summary
Abhishek Mukherjee is a data scientist with a decade of quantitative and research experience at the intersection of finance, machine learning, and software engineering, currently applying his skills at Millennium in New York. He holds an MS in Financial Engineering from Columbia and a BE in Computer Science, and has built production-ready quant models and R&D infrastructure across hedge funds and research teams including Wolfe Research, WorldQuant, and Trexquant. His background spans deep learning for operations research, visual intelligence, and alpha generation—translating academic methods into deployable trading signals and tools. Known for bridging rigorous quantitative research with practical engineering, he has repeatedly moved ideas from paper to production while contributing to analytics and infrastructure across diverse firms.
10 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Financial Engineering, 3.6/ 4.0, Master of Science - MS, Financial Engineering, 3.6/ 4.0 at Columbia University in the City of New York
Bachelor of Engineering (BE), Computer Science, First Class with Distinction, Bachelor of Engineering (BE), Computer Science, First Class with Distinction at Birla Institute of Technology, Mesra
Higher Secondary (CBSE), Mathematics, Physics, Chemistry and Computer Science., Higher Secondary (CBSE), Mathematics, Physics, Chemistry and Computer Science. at Delhi Public School, Ruby Park
English, Hindi, Bengali