Financial modeler with track record of using leading-edge analyses to perform financial and strategic analysis, model risk, streamline operations, and unlock growth opportunities.
Analytics professional focused on using supervised and unsupervised machine learning in R and Python and text analytics/NLP to improve CRM, optimize digital marketing, and visualize geospatial trends with interactive mapping.
Data Science & Analytics - Built customer churn model for bank in Python. Model increased accuracy from 85% to 96% accuracy using a random forest. - Used R to build interactive maps to visualize trends in comments, pictures, video; helped major international theme park understand key locations prior to opening. - Analyzed customer and employee attrition using survival analysis in Python; found key customer and employee touch points. - Developed models for consumer behavior product in R. By linking customer centricity metrics to financial performance, and marketing spend, it helped launch new practice area in the firm. - Developed behavioral segmentation tool by combining unsupervised and supervised machine learning, and NLP to become a new source of revenue. - Combined web scraping and NLP in R to help consumer packages goods company quickly visualize thousands of reviews. - Improved customer retention using a GLM model to identify key drivers and behaviors between segments.
