Currently an Extern @Beats By Dre
I’m passionate about harnessing data to drive business decisions and enhance technological solutions. Let's create impactful insights together!
Dive into my portfolio showcasing data analysis, visualization, and web design projects that demonstrate my skills and impact.
Beats By Dre · Aug 2026 · ✅ Verified by Extern
A Beats by Dre data analytics externship focused on extracting consumer feedback, mapping journeys, and performing sentiment analysis with Python and AI tools.
I’m passionate about harnessing data to drive business decisions and enhance technological solutions. Let's create impactful insights together!
I’m a driven and detail-oriented junior at the University of Texas at Austin, majoring in Informatics with a minor in Statistics on the Data Science track. I’m passionate about the intersection of technology and business, gaining practical consulting and web development experience through business clubs. My strengths lie in data analysis and visualization, where I turn complex datasets into actionable insights through real projects and client deliverables. I’m committed to making a meaningful im
Externships
Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship
Beats By Dre
Experience
Data Analytics Extern; Remote
Beats by Dre X Extern · May 2026 – Jun. 2026
Data Consultant; Austin, TX
University Co-Op · Feb. 2026 – Apr. 2026
Web Design Consultant; Austin, TX
Twice as Good Hair · Jan. 2026 – Apr. 2026
Data Analyst; Remote
NYC Taxi & Limousine Commission · Sept. 2025 – Dec. 2025
Education
The University of Texas at Austin
Bachelor of Science in Human-Centered Data Science Informatics · Class of 2028
Skills
✅ Verified by Extern
A Beats by Dre data analytics externship focused on extracting consumer feedback, mapping journeys, and performing sentiment analysis with Python and AI tools.
In the Beats by Dre Data Analytics externship, I explored how brands harness consumer conversations to shape resonant products. I developed skills in market trend analysis, customer feedback interpretation, and sentiment analysis using Python and AI tools, providing insights into consumer behavior and strategic business decisions.
I produced a set of consumer-insights artifacts: a ranked Pain-Point Chart with representative themes, a full AIDA customer journey table, quantitative charts and metrics from cleaned survey data, and a documented list of EDA and sentiment-analysis opportunities.