Provider and Network Data Science Team

Led end to end development and deployment of a daily account payables and receivables forecast for the Treasury department using methods including Time Series, GBM trees, and Monte Carlo simulation.Led development of a churn model and dashboard tool using techniques from survival analysis to be used by sales team to monitor 40k+ accounts. Constructed a product revenue forecast for a ~$100M business unit using regression and time series being used by executive leadership for annual budget planning. Built manufacturing step time forecasts using regression and LightGBM modeling methods to help manufacturing sites plan the number of staff required during each shift.Developed a hierarchical clustering analysis using the product volume, mix, and workload of manufacturing sites to allow directors to benchmark their staff efficiency metrics at the peer, cluster, and system level.

Solved and presented to executive leadership, a case that diagnosed a significant budget miss for a $100M revenue business unit.

Developed an automated staff capacity planning tool with Excel used by directors to efficiently plan for blood drives. Constructed scenario models in Excel to deliver a business case that drove the decision to launch a pilot for a team based donor recruitment incentive plan in California.Designed choropleth maps in RStudio to display the market penetration rate of donors used in national fundraising appeals.

Led development sessions for 20+ middle school and elementary school kids 2 hours/week.

Led the R&D of a membership program to initiate a revenue growth opportunity. My final presentation was delivered to the Chief Marketing Officer.

I worked on restructuring Unanet’s customer contact data.

I designed a sports website using WordPress and managed a team of 7 contributors. We published over 100 articles and had partnerships with two advertising companies.