Abhishek Mukherjee
Quant Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAbhishek 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
Bachelor of Engineering (BE) Mathematics and Computer Science, Bachelor of Engineering (BE) Mathematics and Computer Science at Birla Institute of Technology, MesraMaster of Science - MS Financial Engineering, Master of Science - MS Financial Engineering at Columbia UniversityHigher Secondary (CBSE) Mathematics, Higher Secondary (CBSE) Mathematics at Delhi Public School, Ruby Park
English, Hindi, Bengali
Github Skills (15)
simple-linear-regression8
multivariate-linear-regression7
gradient-descent5
graph4
execution-time4
linear-regression4
gradient4
regression3
machine-learning2
regression-models2
cpp2
data-structures1
python1
linked-list1
sorting1
Programming languages (1)
Github contributions (5)
abhishekprog0/MachineLearningforTrading
Oct 2016 - Apr 2020
Contributions:9 commits, 8 pushes, 1 branch in 3 years 6 months
abhishekprog0/EventPrediction_DeepLearning
Oct 2019 - Feb 2020
Contributions:63 commits, 63 pushes, 1 branch in 3 months
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