From credit risk to generative AI, the work and proof behind the practice.
Outcomes that moved real money and shipped to real regulators.
Selected hands-on builds, end to end.

Applies logistic regression (PyTorch & sklearn), random forest, and XGBoost to a consumer-lending origination problem.
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Customer purchasing patterns over 3M grocery orders from 200K+ users — EDA, segmentation, market-basket lift.
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A flexible, Slack-integrated alerting layer over AWS Cost Explorer and Snowflake usage that surfaces compute spikes.
View on GitHub →Smaller studies, algorithms, and coursework builds.
Published & academic work.
The tools and methods I reach for.
Continuing education & credentials.