Pranav Subramani
Quantitative Researcher
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolPranav Subramani is a quantitative researcher based in New York with 11 years of experience applying machine learning and probabilistic modeling to systematic equities. He brings a strong research-to-production background, having worked on dialogue systems and deep learning during applied science internships at Amazon and Microsoft, plus embedding-space and probabilistic modeling work at Uber. Currently at Cubist Systematic Strategies, he focuses on data-driven equity strategies informed by rigorous modeling and research methods developed during a Data Science master's (thesis) from the University of Waterloo. His earlier internships in AutoML and meta-learning at Wolfram indicate a long-standing interest in automating model selection and improving learning efficiency. Colleagues would describe him as a researcher who blends theoretical depth with practical implementation experience across both industry-scale systems and cutting-edge ML research.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Data Science (Thesis), Master's degree, Data Science (Thesis) at University of Waterloo
Github Skills (86)
python10
deep-learning10
gpu10
optimization10
mixture-model10
sum10
neural-network10
data-science10
tensorflow10
machine-learning10
ml9
numpy9
gradient9
graphical-models9
acceleration9
Programming languages (6)
Github contributions (5)
pranavsubramani/pranavsubramani.github.io
Aug 2017 - Nov 2022
Personal Website + Blog
Contributions:3 PRs, 59 pushes, 1 branch in 5 years 3 months
personal-blog-websiteblog-websitejekyll
pranavsubramani/HHCodingInterviewPrep
Nov 2016 - Nov 2016
Contributions:9 commits, 1 PR, 9 pushes in 4 days
javadata-structurespreparationleetcode
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