Kyelee Fitts
Data Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKyelee Fitts is a data scientist with nine years of experience building end-to-end ML systems and shipping production recommendations and search solutions, currently at Google after leading algorithmic recommendations for Cooking at The New York Times. She blends applied math training from Columbia with strong analytics chops—SQL, BigQuery, dashboarding, alerting—and a track record of deploying NLP, learn-to-rank, and bandit-based active learning in real-time systems. Comfortable across supervised and unsupervised methods, reinforcement learning, and A/B testing, she pairs modeling with pragmatic engineering to maintain reliable pipelines in production. Notably, she led efforts that surfaced user personas and implemented specialized metrics to quantify reading behavior, turning large-scale user/content signals into product improvements.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree Applied Mathematics, Bachelor's degree Applied Mathematics at Columbia University
Korean, Spanish, Portuguese
Github Skills (22)
gradient8
portable8
xgboost7
java7
distributed-systems7
machine-learning7
scalable7
python7
boosting6
scala6
spark6
dataflow6
dask5
big-data5
gbm5
Programming languages (2)
Github contributions (5)
ruthlee/frankenpoems
May 2020 - Oct 2020
Contributions:37 commits, 35 pushes, 1 branch in 5 months
ruthlee/NYT_Style_Analysis
Sep 2019 - Aug 2021
Contributions:48 pushes, 1 branch in 1 year 11 months
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