- Manage data ingestion, transformation, and storage to build out SQL data warehouse, combining music metadata and royalty statements to make a cohesive data model. Increased the size of the database tenfold in first year- Apply advanced time series forecasting techniques in Python to forecast streaming consumption market share by song. Current methods improved upon baseline accuracy by 60%, allowing Opus to more effectively value potential music catalogs- Direct creation and maintenance of automated PowerBI dashboards to efficiently monitor KPI’s for owned and prospective catalogs- Administer Azure resource groups, overseeing $200 monthly spending on Microsoft services

- Develop framework and best practices to allow for expansion of automated forecasting models for business units including Finance, Claims Operations, and Repair and Logistics, currently tracking more than 3,000 forecast components- Created and lead the Machine Learning Champion program by consulting on projects that promote machine learning throughout the global actuarial department leveraging Python and DataBricks- Research and implement new methodologies to improve automation and accuracy of forecasting models

- Implemented and maintained time series forecasting models in R to provide insurance demand projections that serve as inputs to the supply chain purchasing plan- Queried large datasets in SQL across multiple systems to feed mobile insurance forecasting models using stored procedures and ETL processes- Performed ad hoc analysis to aid in creation of device protection, upgrade, and trade-in program recommendations for national cellphone carriers- Lead weekly call with team leads to detail forecast results, insights, and initiatives

- Coordinated with Data Management and Data Services teams to drive modifications to standard reporting- Assisted in creating presentations of quarterly business reviews to major clients- Served as an official mentor to integrate interns into Assurant

- Applied knowledge of R and SAS software to cleanse and manipulate data in large volumes- Created a predictive model to improve company’s forecasting of consumer behavior- Developed automated reports updated quarterly to analyze trends pertinent to the business

• Developed strategies designed to increase student’s understanding of math and economics• Used communication skills by collaborating with individual students to create optimal study plans• Prepared review materials for tutees