About
Highly analytical and user-centric Product Management professional with a B.S. in Information (Data Science + UX Design) and a 3.7/4.0 GPA, graduating May 2025. Proven ability to drive product strategy and enhance user experiences through data-driven insights, machine learning, and UX methodologies. Eager to leverage strong technical acumen and leadership experience to deliver innovative product solutions in a dynamic tech environment.
Work
New York, NY, US
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Summary
Led product development initiatives for a digital experience analytics platform, focusing on user data tracking and adoption strategies.
Highlights
Engineered a new SQL-based user data tracking system across Contentsquare and two acquired platforms, identifying key personas to guide strategic integration.
Conducted SQL analysis revealing higher adoption rates for multi-user accounts; redesigned invitation flow and added in-app reminders, converting single-user accounts into active teams.
Led collaboration with Engineering to design role-specific onboarding guides, enabling admins to understand roles for invitation, accelerating team setup and boosting adoption.
San Francisco, CA, US
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Summary
Drove product and marketing strategy for a digital health company through in-depth data analysis and user-centric communication.
Highlights
Identified untapped sales opportunities by analyzing Salesforce data using SQL, developing targeted re-engagement strategies to increase revenue.
Analyzed LinkedIn and Google Ads campaign data to pinpoint performance gaps, reallocating budget based on insights, and creating Tableau dashboards to optimize marketing spend.
Improved feature adoption by translating complex technical updates into clear, user-facing product communications delivered monthly.
San Francisco, CA, US
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Summary
Enhanced entertainment content discovery and ranking accuracy through advanced data science methodologies and model refinement.
Highlights
Revamped Gracenote's Video Popularity Score using advanced Python regression and statistical modeling, significantly enhancing TV/movie discovery and ranking accuracy.
Improved model accuracy significantly by identifying inaccuracies and collaborating with Engineering and Product teams to adjust key predictive factors, enabling more precise forecasts of TV and movie popularity.
Volunteer
UpRound Ventures
|Strategy Analyst & Director of Recruitment
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Summary
Drove strategic initiatives and recruitment for a student-led venture capital fund managing $100K, focusing on startup investment and market visibility.
Highlights
Directed marketing strategies and investor outreach for a $500K AI-driven hair care startup, connecting with 50+ VC firms and significantly enhancing market visibility.
Won the 2023 Michigan Investment Challenge, selected as one of five students to represent the University of Michigan in regional and global Venture Capital (VC) competitions against 150+ participants.
Secured 1st place at the 2023 UNC Kenan-Flagler Global VC Investment Competition, outperforming 120+ university teams through data-driven financial modeling and market analysis, earning a $5K prize.
Midwest Ventures Conference
|Founding Member & Director of Operations
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Summary
Co-founded and managed operations for a student-run conference connecting early-stage Midwest startups with top venture capital firms.
Highlights
Co-founded and launched a student-run conference connecting Midwest startups with top venture firms, helping bring the event from concept to launch and expand access to early-stage funding in Michigan.
Selected and coached 17 student-founded startups; facilitated investor meetings with 22 VC firms (including Bessemer and Meritech), resulting in one company raising $2M in seed funding.
MProduct
|President
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Summary
Led a 200-member student-led product management organization, driving engagement and developing a comprehensive curriculum.
Highlights
Doubled organizational engagement via targeted outreach; launched inaugural PM conference with 80+ attendees, secured industry leaders as speakers, and reduced event costs by 50%.
Designed and led a comprehensive 6-week curriculum, mentoring 6 teams in creating high-impact MVPs, including a user-focused credit card rewards optimization app.
Skills
Data Science & Analytics
Machine Learning, Predictive Analytics, Statistical Modeling, Data Wrangling, SQL, Python, R, Tableau, Excel.
Product Management & UX Design
A/B Testing, Experiment Design, UX Research, Human-Centered Design, Wireframing, Agile Methodologies, Scrum Methodologies, Figma, Confluence, JIRA.
Creative Tools
Adobe Creative Cloud.