Profile
Recent UT Austin Statistics graduate (May 2024) with 14 months of combined internship experience in business intelligence and consumer analytics. Proficient in Python, SQL, and Tableau; built dashboards adopted by 200+ end users across two organizations. Seeking a full-time data analyst role where rigorous analysis drives measurable product or revenue decisions.
Work Experience
Data Analytics InternJun 2023 - Dec 2023
Brightline Commerce, Austin, TX
- Automated 6 weekly Excel reports using Python pandas, cutting analyst prep time by 4.5 hours per week across a 3-person team.
- Built a Tableau customer-segmentation dashboard that surfaced a $220K upsell opportunity flagged by the VP of Sales within 30 days of launch.
- Queried 8M+ row PostgreSQL database to identify cart-abandonment patterns, informing a checkout redesign that lifted conversion 11%.
Business Intelligence InternMay 2022 - Aug 2022
Meridian Health Partners, Remote
- Designed 4 KPI scorecards in Power BI tracking patient-satisfaction metrics for 12 regional clinics, replacing a manual PDF process.
- Cleaned and merged 3 disparate data sources (EHR, survey, billing) using SQL joins, reducing reporting errors by 34%.
- Presented monthly trend analysis to a 15-person operations team, earning a return-offer for the following summer.
Undergraduate Research AssistantJan 2022 - May 2024
UT Austin Dept. of Statistics, Austin, TX
- Co-authored a regression study on food-access inequity across 78 Texas counties; paper accepted to the 2024 Southwest Data Science Symposium.
- Wrangled 500K-row Census dataset in R, reducing cleaning time 60% by writing reusable tidyverse scripts adopted by 4 lab members.
- Mentored 3 sophomore students in introductory R, all of whom secured research positions the following semester.
Education
B.S. Statistics, Minor in Computer Science2020 - 2024
University of Texas at Austin, Austin, TX
GPA 3.7 | Dean's List 4 semesters | Relevant coursework: Machine Learning, Database Systems, Data Visualization, Applied Regression