> Oversaw all Nonprofit and Political clients’ predictive marketing models and analyses for mail campaigns> Provided analysis results, actionable insights, and strategic plans to Account Managers to support clients’ goal metrics > Supervised team of analysts responsible for building models for Nonprofit and Political clients> Created performance plans and responsibilities for junior analysts to promote foundational analytics and data skills> Reorganized workflow for Analytics department by integrating Jira to standardize communication and historical info> Initiated 360 Performance Review for upward feedback to management from team personnel> Conceptualized internal R&D teams to identify and improve upon departmental issue areas

> Led a team of 4 to develop Power BI report facilitating Performance Monitoring efforts slated to yield $150MM/year> Managed and assigned tasks to team members (on/offshore) in order to align feature delivery with client prioritization > Mentored and enabled capacity in junior analysts and developers through paired programming and working sessions

> Implemented and ran Agile sprint structure for development of Supply Chain Optimization application> Led development of back-end DataBricks infrastructure for a major energy company’s Supply Chain Optimization Platform generating $109MM of incremental margin improvement for the client > Developed a modularized R library for Linear Programming and Supply Chain Optimization enabling the client to easily develop new features, maintain the code, and use it to replatform other models into the developed architecture> Created an ETL process by integrating various data sources via SQL, Web API, Sharepoint, etc. to generate the back-end data connections for the Performance Monitoring dashboard> Single-handedly optimized and validated R code for all portfolios’ predictive models reducing runtimes by over 90%

> Worked on a NLP platform for Consumer Product companies to perform clustering on Twitter data using Python> Created containerized data science development environment using Docker to test Clustering algorithms> Developed models for financial institution in compliance with CECL standards> Validated models for financial institution in compliance with the Comprehensive Capital Analysis Review standards

> Contributed to the in-house data analytics platform, Nebula> Wrote custom R scripts that connected to the Hive, Impala, and MySQL databases> Used several methods to programmatically identify strong predictors of Achievable Capacity Capability, and other metrics of interest

> Worked on a small team developing a web application data analysis software for Lean Six Sigma, EngineRoom > Created a system which allowed running a custom R script through a C# function> Wrote and maintained all the R scripts and C# statistical functions> Contributed to the UI design and helped maintain effective communication among the development team> Provided statistical support to the sales and support teams> Interacted with customers and provided support for EngineRoom> Created tutorials and provided live demonstrations of EngineRoom to current and prospective clients