Kenji Oman
Data Scientist
Zionsville, Indiana, United States
Summary
👤
Senior🎓
Top SchoolKenji Oman is a data scientist with eight years of experience blending full-stack engineering, machine learning, and product analytics to turn complex data into product impact. At Indeed he led initiatives in mobile analytics, anomaly detection, lifetime value and applicant scoring while building a feature store for automated model updates, and he has a track record of aligning modeling work with legal/privacy constraints. His background in genomics and a PhD in Physics underpins strong quantitative rigor and experience managing petabyte-scale datasets and published methods. Comfortable translating technical concepts for non-technical stakeholders, he also mentors teams and runs internal training to raise organization-wide competency. Now at McGraw Hill, he brings research-grade analytic thinking to product-focused ML solutions from prototype to production.
8 years of coding experience
14 years of employment as a software developer
Certificate Data Science, Certificate Data Science at University of WashingtonDoctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at The Ohio State UniversityBachelor of Science (BS) Physics, Bachelor of Science (BS) Physics at Carnegie Mellon University
Japanese
Github Skills (74)
prediction10
jupyter-widget10
jupyter10
jupyterlab-extension10
jupyterlab10
pandas9
econometrics9
espn9
statsmodels9
regression-models9
python9
manipulation9
forecasting9
frame9
data-structures9
Programming languages (6)
Github contributions (5)
kenjioman/StatisticalRethinking
Jan 2019 - Aug 2019
Contributions:8 commits, 11 pushes, 1 branch in 7 months
kenjioman/handson-ml2
Jul 2021 - Jul 2021
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Contributions:1 push in 1 day
pythondata-sciencedeep-learningjupyter-notebookfundamentals
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