Atul Daluka
Quantitative Analyst
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAtul Daluka is a quantitative analyst combining an IIT Delhi foundation in Mathematics & Computer Science with an MS in Computational Finance from Carnegie Mellon and eight years of experience building ML- and statistics-driven solutions for finance and enterprise clients. He has translated research into production at hedge funds and prop shops—constructing loan-level Markov transition models for FNMA data and automating heavy data pipelines to cut runtimes by over 70%—while earlier roles at Accenture saw him lead large web-crawler and computer-vision teams and ship YOLO and CNN prototypes for asset inspection and audio emotion intelligence. Comfortable across Python, C++, R, MATLAB and SQL, Atul bridges rigorous quantitative modeling with pragmatic software engineering to deploy models end-to-end. He brings a pattern-seeking, initiative-driven approach, evidenced by building a live trading analysis application as an intern and mentoring teams of 50–100 to win multiple POCs. Now based in New York, he is focused on quantitative financial modeling and systematic research that turns complex data into actionable trading insights.
8 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Delhi (IIT Delhi)High School Diploma `, High School Diploma ` at Board of Secondary Education RajasthanMaster of Science - MS Computational Finance, Master of Science - MS Computational Finance at Carnegie Mellon University - Tepper School of BusinessProgramming languages (1)
Github contributions (5)
AtulDaluka/AI
Jul 2017 - Aug 2017
Contributions:14 commits, 13 pushes, 1 branch in 15 days
AtulDaluka/web-crawler-app
Apr 2019 - Apr 2019
Contributions:21 pushes, 1 branch in 1 day
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