Currently an Extern @Extern
I'm a data science student passionate about transforming insights into impactful strategies.
Dive into my portfolio showcasing e-commerce data analysis and strategic insights from my externship experience.
Breaking Games · Jul 2026 · ✅ Verified by Extern
A Breaking Games externship focused on analyzing marketing and commerce data to diagnose funnel gaps and measure paid-ad and product performance.
Automated a Python and SQL workflow to integrate, clean, and standardize 90+ product records from 3 retailers. Built a Power BI dashboard analyzing pricing, retailer positioning, data-quality exceptions, and trends across 8+ product attributes. Identified approximately 15% pricing variation and deve
I'm a data science student passionate about transforming insights into impactful strategies.
I am a third-year undergraduate student working towards a Bachelor's degree in Statistics and Data Science. My coursework and hands-on projects have honed my analytical skills, particularly in data analysis, statistical modeling, and machine learning. I have experience with programming languages like Python and R, along with tools such as SQL and Tableau. I take pleasure in transforming complex data into actionable insights and have completed projects that enhanced decision-making processes. I look forward to applying my skills in real-world situations and making a positive impact.
Externships
Excel & AI Financial-Modeling Sprint
Extern
Experience
Procurement Data Analyst Intern
WIPP Data · Sep 2026
Fashion E-Commerce Data Analyst Intern
Erthe · Aug 2026
Data Science Intern
Kelvolta · Jun 2026 - Aug 2026
E-Commerce Data Analytics & Strategy Extern
Breaking Games LLC · May 2026 - Jul 2026
Finance & Data Operations Chair
TAARA, UC Santa Barbara · May 2025 – May 2026
Education
University of California, Santa Barbara
B.S. Statistics and Data Science · Class of 2028
Skills
✅ Verified by Extern
A Breaking Games externship focused on analyzing marketing and commerce data to diagnose funnel gaps and measure paid-ad and product performance.
The work consolidated Google Analytics, Meta and Google Ads, and Shopify exports to map user journeys, compute campaign- and product-level KPIs, inspect checkout behavior, and build interactive visualizations. Deliverables included campaign-level KPI tables, a quantified 59.9% checkout drop-off, top-SKU sales figures, and an interactive funnel dashboard. The work was awarded Top Performer by
I delivered a consolidated, interactive e-commerce funnel dashboard plus data-backed analyses: a 59.9% checkout drop-off calculation, campaign-level KPIs (impressions, clicks, conversions, CPA, ROAS), and product-level sales and conversion findings including the top-selling SKU.
Automated a Python and SQL workflow to integrate, clean, and standardize 90+ product records from 3 retailers. Built a Power BI dashboard analyzing pricing, retailer positioning, data-quality exceptions, and trends across 8+ product attributes. Identified approximately 15% pricing variation and deve
Automated a Python and SQL workflow to integrate, clean, and standardize 90+ product records from 3 retailers. Built a Power BI dashboard analyzing pricing, retailer positioning, data-quality exceptions, and trends across 8+ product attributes. Identified approximately 15% pricing variation and developed recommendations for product positioning, pricing, and sales strategy.
The main accomplishment was taking messy product data from three different retailers and turning it into something I could actually analyze and compare. I created visualizations around price versus rating, average discount percentage, and average ratings by retailer, which helped me understand how the retailers differed in pricing, promotions, and overall product performance.