Supervisory (Lead) Data Analyst
Current* Manage a team of five data analysts. Team is responsible for providing data analysis and authoritative subject matter expertise on data issues for high profile national programs and ancillary data support for litigation matters. *Conduct quantitative research on a variety of topics related to fraud reporting. Build regression models, apply algorithms to large datasets, and use python packages to analyze text data in novel ways. * Led successful initiative to post interactive data visualizations on the web with Tableau public. Served as the lead data engineer, responsible for writing ETL scripts with python and sql, and building Tableau dashboards using advanced techniques (sheet swapping, LOD calculations, etc). Dashboards have over 1 million views and are used by major media outlets, policymakers, academics, and others to educate the public and inform policy. * Build complex solutions and perform data analysis on large datasets with python - pandas, matplotlib, seaborn, etc.* Manage all data analytics from the Consumer Sentinel Network (CSN) - one of the largest data repositories for fraud reports in the world. Work with agency leaders, other federal agencies, congressional staff and others on issues related to CSN data.