Data Scientist Product Developer
CurrentDesigned and deployed machine learning regression models in production, to predict jobseeker activity and recruitment costs, using scikit-learn pipelines in a Python/SQLAlchemy system with a Flask-ReSTful API and Cronjobs.Increased R2 by 15% in recruitment cost predictions, innovating engineered features with empirical Bayes methods.Developed a company-wide system to track machine learning models, while securing buy-in from multiple teams.Modeled churn with logistic regression and analyzed business impact and performance of machine learning models.Gave technical direction and collaborated on a major subteam effort, while updating product stakeholders clearly.