M.S. in Applied and Computational Mathematics, University of Minnesota - Duluth, 2021
B.S. in Applied Mathematics, University of Minnesota - Duluth, 2017
B.S. in Statistics and Actuarial Science, University of Minnesota - Duluth, 2017
Work experience
Computer ScientistSt. Olaf College (2022 - present)
Designed active learning curriculum and presented lectures for math and computer science courses.
Encouraged a growth mindset in others by mentoring and guiding students in developing computational skills and encouraging exploration and experimentation in courses taught.
Faculty mentor to student researchers involved in data competitions, hackathons, and machine learning projects.
Courses taught: Calculus I-II, Principles of Computer Science, Machine Learning, Ethics in Computer Science
Data ScientistHennepin County (2023 - 2024)
Sourced, aggregated, managed data and leveraged data science technologies to answer business questions as part of the imple- mentation of an enterprise integrated data system (EIDS) with a focus on building well-documented analysis pipelines.
Produced timely and relevant county-wide insights and data resources to support organization priorities, specifically around disparity reduction, and fostered action aimed at improving service delivery and outcomes for county residents.
Key projects: Investor-involved residential property sales, county-wide program involvement dashboard geared towards execu- tives, education and youth program intersections analysis health insurance linkage.
Data product environments: Azure, Databricks, R, Python, SQL, PowerBI, Neo4j
Pricing Analyst IISwanson Health Products (2021 - 2023)
Identified weekly promotional prices on over 8,000 products to increase customer traffic across paid, natural, and catalog markets.
Ran clustering analysis to reclassify KVI segments for 18,000 products using sales trends and e-commerce metrics.
Led pricing evaluation for 1,600 products across ten global markets, reducing potential impact with elasticity forecasting models.
Presented strategic recommendations and insights to senior leadership through dynamic dashboards.
Data product environments: Snowflake, R, SQL, PowerBI