Data Scientist
2018 - PRESENTFacebook- Built and managed data infrastructure for a program's in-house CRM platform. Data infrastructure was used for sourcing new leads, monitoring program efficiency, and integrating data sources.
- Managed analytics for a new, experimental product developed for small businesses, including targeting criteria, feature-flags used during release, and developing insights about product adoption.
- Built and maintained lead-scoring models for an on-platform campaign that drove a 30% improvement in cost per campaign objective.
Technologies: SQL, PythonData Engineer, Product Analyst
2016 - 2018Poll Everywhere- Implemented Airflow and constructed the first data pipelines for the company.
- Managed the building and design of a data warehouse, including integrating data sources.
- Built a lead scoring system that automatically funneled leads to the sales team. The system included data enrichment, scoring, and result tracking.
Technologies: Apache Airflow, SQL, PythonBusiness Analyst
2014 - 2016Cartesian Consulting- Built data pipelines and a scoring system to measure and track the prevalence of account sharing for a video streaming service.
- Created revenue and operations tracking dashboards for a sales channel of a US wireless carrier.
- Developed cost-allocation models to assess the profitability of individual enterprise customers for a US communications service provider.
Technologies: SQL, Python