Jonathan Ramkissoon
Data Scientist
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolJonathan Ramkissoon is a data scientist with 11 years of quantitative and applied ML experience, currently on the machine learning team at DRW after progressing from an intern role. With a Master’s and Bachelor’s in Statistics from the University of Waterloo, he blends rigorous Bayesian and hierarchical modeling expertise with production ML engineering—previously shipping multiple models at Scribd and building large-scale Spark/Scala pipelines. He has academic roots in computational statistics and Bayesian research, including Gaussian copula work and chemical reaction modeling, and has taught regression and probability at Waterloo. A former competitive swimmer, he brings discipline and a competitive mindset to fast-paced trading and applied research environments.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Mathematics, Statistics, Bachelor of Mathematics, Statistics at University of Waterloo
Github Skills (12)
python9
machine-learning9
scribd9
statistics9
deep-learning8
data-science8
tensorflow8
github-pages7
neural-network7
ml5
deep-neural-networks5
tech-blog4
Programming languages (4)
Github contributions (5)
jramkiss/jramkiss.github.io
Jun 2019 - Nov 2022
Personal blog about statistics and machine learning
Contributions:522 commits, 9 PRs, 801 pushes in 3 years 5 months
statisticsmachine-learningdata-science
jramkiss/filtering-jump-diffusion
Dec 2022 - Jul 2023
Contributions:5 pushes, 1 branch in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.