Denver, Colorado, United States
Baseball student-athlete turned mathematician seeking an opportunity to leverage leadership skills, technical background, and competitive spirit to make an impact on a company by solving interesting problems with real-world application.
Created data visualizations in Tableau to provide pricing and profitability analysis to internal upper management, to quickly identify the scope of potential payment outages, and to track the impact and effectiveness of our client support team. Used SQL to identify bad actors making payments for fraudulent identification cards, to identify third party payment aggregators taking advantage of card brand regulations to decrease our margins, and mitigate the impact of high cost cards on the revenue produced from low-margin clients. Increased visibility into client support health metrics by building a centralized Tableau dashboard for the payments support team, helping the team decrease issue resolution time by 60%.
Led a project including application developers, data analytics developers, and business analysts to implement an embedding of Tableau visualizations in the payments application. Created the six visualizations for the pilot version of the module. Provided payment processing expertise to the internal team implementing our payments solution for the state of Georgia. Utilized feedback from clients, application business analysts, compliance and user experience to revitalize the customer feedback module. Scoped and tested development tickets for our payments application and 10 different microservices.
Sole instructor for one section of College Algebra (10 students) and two sections of Calculus II (42, 35 students). Redesigned the Business Calculus course to enhance the relevance of the material and increase student engagement. Organized Graduate Student Seminar to provide an avenue for DU graduate students to practice research presentations.
Collaborated with a team of mathematicians, developers, data scientists, and technical program managers to deliver an innovative mobile app that used machine learning to provide students Calculus help and validate student-written solutions. Helped math engine for mobile app back-end by writing step-by-step calculus rules to improve OCR solution assessment and automated problem solving. Wrote “next-step” hints to help students complete a problem. These were designed to be specific enough for a student to identify how to proceed, but general enough to apply to a pattern of expressions while being appropriately placed within the math engine.
Ran recitations for elite Chinese high school students at a math camp, guiding them with homework and final projects while mentoring them both mathematically and in speaking English.