Caleb Ki
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolCaleb Ki is a data scientist and statistician with a decade of experience, currently applying his PhD-level expertise at Lyft in New York to improve driver earnings and rideshare operations. His research at the University of Michigan focused on statistical methods for genetic sequence analysis, giving him deep experience in probabilistic modeling and large-scale biological data. Caleb bridges academic rigor and product-driven analytics, having transitioned from NSF-funded research to production data science through internships and full-time roles at Lyft. He began with strong foundations in mathematics and statistics from Amherst College (Magna Cum Laude) and brings an actuarial and experimental mindset from early industry internships. This blend of domain research, real-world impact on platform economics, and a track record of moving from prototype to production distinguishes his approach to data problems.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics | NSF Graduate Research Fellow, Doctor of Philosophy (PhD), Statistics | NSF Graduate Research Fellow at University of MichiganMathematics and Statistics | Magna Cum Laude, Mathematics and Statistics | Magna Cum Laude at Amherst College
Spanish, English
Github Skills (2)
machine-learning1
time-series1
Programming languages (1)
Github contributions (5)
jthlab/vbsky
Apr 2021 - Jul 2022
Contributions:27 commits, 8 pushes in 1 year 3 months
calebki/Optimization_Project
Nov 2017 - Jan 2018
Contributions:23 pushes, 1 branch in 2 months
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