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Education

Boston University, Boston, MA — Master of Science, Applied Data Analytics, 2023. Completed while working full-time at Workday.

Wake Forest University, Winston-Salem, NC — Bachelor of Science, Economics; minor in Computer Science, 2019.

The model-selection habit that shows up in my AI work, choosing the model you can operate over the model that scores highest, started here.

Coursework highlights

• Applied machine learning: supervised classification and model selection across Random Forest, SVM, kNN, logistic regression, Naive Bayes, and decision trees; hyperparameter tuning; k-means clustering; evaluation on true-positive and true-negative rates rather than accuracy alone.
• Statistical inference and regression in R: hypothesis testing, linear and multiple regression, ANOVA and ANCOVA, regression diagnostics.
• Database design and SQL: schema design and normalization, aggregation, subqueries, stored procedures, triggers, transaction concurrency with locking and multiversion concurrency control, and dimensional star schemas with ROLLUP aggregation.
• Python software development and algorithm design: OOP, unit testing, and Big-O analysis across five algorithm design techniques, with data structures in Java.