Building the analytics platform empowering Tinder's product and data science teams.

- Empowered data and analytics to combat the spread of Misinformation on Facebook.- Designed and implemented data model tracking all views on misinformation content throughout Facebook platform.- Developed performance metrics and dashboards for coverage of misinformation warning screens on views of hoax-labeled content to prioritize product gaps.- Built and validated publicly reported metrics for volume of Facebook content labeled with misinformation warning screens related to Covid-19 and US2020 elections.- Redesigned the source of truth data source of hoax-rated content across Facebook and Instagram to be more accurate, removing 20% of content from previous logic that were incorrectly included, and more comprehensive, incorporating 50% additional hoax content not previously included.

- Served as sole member of data team at Nurx, responsible for performing all product and operations data investigations with minimal guidance or reference documentation, developing dashboards to track SLAs and KPIs across departments, and building company performance metrics and customer growth forecasts to support fundraising.- Developed complex SQL queries and dashboards to track and categorize user churn to prioritize product features and CRM campaign deployments.- Performed investigations of conversion funnel with SQL and Python to categorize all unconverted users into granular actionable groups, and provided outreach strategy recommendations for each group.- Responsible for maintenance and development of dbt-deployed analytics database, interacting production database with 3rd party services’ data to provide pre-transformed, easily digestible, and HIPPA-compliant data access to each department.- Developed A/B testing metrics to assess the performance of new product features.- Developed metrics and dashboards to track quality and efficiency of Operations staff at team and individual levels.

- Provided a wide range of data analysis and consulting services to the federal government to inform the establishment healthcare policy and to support the operation and monitor performance of ongoing healthcare integrity programs.- Served as the primary programmer/analyst responsible for annual Medicare OPPS Payment Rate setting via the maintenance, update, and execution of more than 100 SAS and COBOL programs that model the cost of episodes of care from greater than 100 million outpatient Medicare claims.- Performed machine learning regression and classification analyses of more than 500 million Medicare claims in SAS and R to assess the influence of geographic, service-mix, and labor factors on hospital and ambulance provider service costs.- Developed ETL with Python and SQL to interact multiple healthcare data sources and construct the master physician identification reference used by 1,500 pharmaceutical companies for Open Payments reporting of $2 billion in transactions to 650,000 physicians.- Trained and managed team of up to 10 programmers and 4 project coordinators across multiple projects.Key Project Leadership Roles:Production of Medicare OPPS Payment Rates- Project Director (2016 – 2018) - Project Manager (2014 – 2016)- Lead Analyst (2013 – 2014)Open Payments Program Evaluation- Project Manager (2017 – 2018)- Lead Analyst (2014 – 2017)Monitoring and Evaluation of Medicare Payment Policies- Lead Analyst (2014 – 2016)