Applied Predictive Technologies integrated with Mastercard in early 2019 after an April 2015 acquisition. Led a team of 6 to develop a platform that leverages Mastercard data to provide insights to financial institutions or co-brand card companies. Implemented data privacy rules, transaction filtering logic, benchmarking tool, customer group creation, data ingest, query optimizations. Developed system to process and store raw Mastercard data and pre-calculate various transaction and account-level attributes for consumption by other applications. Managed dataset calculation and publishing. Led internationalization of attributes. Led team collaboration with and on-boarding of data engineers in India. Lead of San Francisco Women's Leadership Network - plan office-wide events to promote mentorship and leadership among women in the office and educate others about women in the workplace. UVA Recruiting School Manager - helped lead recruiting efforts at University of Virginia

Coached for 3 consecutive fall seasons at Thomas Jefferson High School for Science and Technology.

Designed and engineered a Partner Incentives web application to streamline partner on-boarding and implement Payment as a Service. Estimated business impact of at least $2 billion. Programmed in angularJS, followed agile methodology, implemented automated testing with Selenium, and collaborated to make major frontend and backend design decisions. This first version of the configuration tool is aimed at local campaigns and retail partners of Microsoft.

Used php and wordpress to update the main site, change blog format, and add blog functionalities to include search, categorization, and a popular posts feed. Collaborated with developers, frontend designers, and business team to implement the blog redesign.

Independently taught science and technology related labs to elementary school students as a part of Ideaventions day camp. Each lab consisted of 8-10 students. Aided in lesson plaining in preparation for each camp session.