Denver Metropolitan Area
I’m fascinated by one question: why do users behave the way they do? The best products aren’t built on guesses, they’re built on data. I enjoy digging into user behavior, identifying what drives engagement, and helping teams turn insights into product decisions. Right now I’m completing my MS in Business Analytics at the University of Colorado Denver, where I’m focused on product analytics, experimentation, and growth analysis. My goal is simple: help product teams understand their users and build better products. I’m particularly interested in roles where data sits close to product, working with product managers, engineers, and growth teams to answer questions like: • Where do users drop off in the funnel? • What drives retention and engagement? • Which product changes actually move key metrics? • How can experimentation improve the product experience? My toolkit SQL • Python • Power BI • Excel • Data Visualization • Experimentation What I enjoy doing most Turning messy data into clear insights that help teams make better product decisions. I’m currently looking for Product Analyst, Data Analyst , Growth Analyst, and Business Intelligence roles. If you’re building products and care about understanding your users through data, I’d love to connect.
• Analyze inventory and product data to identify supply gaps and high-demand medical equipment categories. • Build dashboards and reports to track product availability, shipment readiness, and inventory movement. • Partner with operations and logistics teams to improve product flow visibility and reporting.
• Coach graduate students in SQL, Excel, and database concepts, helping them apply data analysis techniques to academic and real-world datasets • Guide students in writing SQL queries, data extraction, and database design fundamentals • Support hands-on problem solving in data manipulation, joins, aggregations, and analytical queries • Help students interpret datasets and translate analytical results into clear insights and visualizations
• Conduct data collection, cleaning, and analysis to support research on international business and geopolitical policy topics • Perform sentiment analysis using Python to analyze student perspectives on global geopolitical issues • Use web scraping techniques to gather large-scale textual data for research analysis • Perform statistical analysis and data visualization using Python and Excel to uncover patterns in research datasets • Contribute to research on CFIUS (Committee on Foreign Investment in the United States) evaluating geopolitical and investment implications • Support preparation of research findings that were accepted by the research board at University of Colorado Denver
• Support faculty in delivering graduate-level courses by assisting with data analysis assignments and research-based coursework • Facilitate review sessions to help students understand quantitative analysis, research methodology, and data interpretation • Evaluate assignments and provide feedback to improve analytical reasoning and research quality • Assist in organizing course materials and coordinating academic activities for graduate students
• Collaborate with UX designers, product managers, and the Director of Product Design to translate user needs into product requirements • Support product development by defining functional specifications and feature requirements for engineering teams • Participate in product design discussions and user experience reviews to improve usability and workflow efficiency • Analyze product feedback and usage insights to support data-informed product decisions • Coordinate across design, product, and engineering teams to ensure successful feature delivery