Data Science

Created 6 years ago in Technology / Other

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.