Substitute teaching H.S.

-Worked with existing customers to ensure satisfying results for existing data analytical products-Helped create DRNSights for Insurance, a replacement for the aging Eventlinks product, leveraging knowledge of insurance customer needs and Eventlinks features to create a new and improved product-Developed automated QC to check hundreds of variables increasing accuracy and speed of outgoing files-Collated internal data to create internal metrics for targeting insurance sales

DRN was acquired by Motorola in January of 2019-Worked with existing customers to ensure satisfying results for existing data analytical products-Improved insurance products speed and accuracy using Python and R-Worked with sales and clients to improve insurance product readability-Developed multiple bespoke python analytical products for one-time clients in both insurance and law enforcement using both internal and external APIs and SQL-Developed tensorflow-based classifier for vehicle images across >30 classifiers to identify fraudulent commercial usage

-Rewrote existing products from C++ to Python, dramatically increasing speed and run time, allowing multiple orders of magnitude more records to be run for clients-Created python code that utilized multiple API’s, both internal and external, to collect vehicle and LPR data, collate it, interpret it, and output the results into a client-friendly data format-Used tensorflow to build the proof-of-concept license plate state reader, later developed into company-wide product used across all lines of business