Data Scientist
CurrentProjects ranging from model building to data evaluations and R&D at an identity risk management company• Researching potential of graph-based feature generation for future models, testing various graph embedding algorithms for performance improvement and production feasibility• Co-authored a paper with colleague on new approach to graph embeddings for ECIR 2020 conference• Worked on an updated machine learning credit model for Auto Industry, achieving KS improvement of 9-53% (depending on the client) over previous model• Development and presentation of new metric for measuring Disparate Impact, allowing clients to speed adoption of new models. Presented to clients at company’s annual conference in NY• Led project to evaluate coverage & value of internal & 3rd party data sources, created Python/Spark package to automate evaluations, and presented to internal stakeholders to evaluate ROI of data vendors