Currently an Extern @Extern
I'm a data science student passionate about transforming insights into impactful strategies. Currently exploring e-commerce at Breaking Games.
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. Currently exploring e-commerce at Breaking Games.
I am a third-year undergraduate student working toward a Bachelor's degree in Statistics and Data Science. I am currently gaining hands-on experience through my externship at Breaking Games, where I analyze e-commerce data and develop strategies to enhance performance. This role allows me to apply my academic knowledge to real-world challenges, honing my analytical skills and understanding of data-driven decision-making.
Externships
Excel & AI Financial-Modeling Sprint
Extern
Experience
E-Commerce Data Analytics & Strategy Extern
Breaking Games LLC · May 2026 - Aug 2026
Fashion E-Commerce Data Analyst Intern
Erthe · Aug 2026
Data Science Intern
Kelvolta · Jun 2026 - Aug 2026
Finance & Data Operations Chair
TAARA, UC Santa Barbara · May 2025 – May 2026
Finance Intern
Diva Designs · Sep 2025 – Dec 2025
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 examined Google Analytics, Meta Ads, Google Ads, and Shopify exports to trace customer behavior across the e-commerce funnel. It combined user-journey mapping, campaign- and product-level KPI calculations, checkout inspection, and cross-platform consolidation. Deliverables included campaign-level KPIs, a quantified 59.9% checkout drop-off, top-SKU sales figures, and an interactive funnel
I produced a consolidated, interactive e-commerce funnel dashboard and a set of data-backed analyses, including a 59.9% checkout drop-off calculation, campaign-level KPIs, and product-level sales and conversion findings.
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.
✅ Verified by Extern · ⏱️ In progress
Build a three-statement model, forecast with drivers, run a DCF, and pitch a company like a pro. In this 3-week sprint, GPT helps you work faster—so you can walk away with real valuation skills and a polished investor deck.
The externship covered building a three-statement financial model, forecasting using driver-based assumptions, running a discounted cash flow valuation, and preparing an investor-style pitch deck. Work combined spreadsheet modeling with AI-assisted drafting to accelerate model construction and narrative slides. Deliverables included a completed model, valuation outputs, and a polished investor
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I built a full financial model and supporting materials over a three-week sprint, using AI tools to speed calculation and narrative tasks. Below are the key steps I completed and the artifacts I produced.