Evanston, Illinois, United States
Independently developed a machine learning model to predict agent turnover, achieving 91% precision (30-fold improvement from 3% baseline precision) and 89% recall, which led to the implementation of specific and proactive retention and hiring strategies Automated and added new functionality and visualization features to previously manual weekly Excel reports using Power BI and DAX Key team member addressing internal data standardization and analytics platform development
Built PyQt5 application to process and display mass spectrometry data with full-stack Python development. Developed sandbox version of monoclonal immunoglobulin diagnostic tool to supplement hematologist’s diagnosis process using vector mathematics.