Currently an Extern @Pfizer
I explore consumer behavior through data analysis, aiming to transform insights into impactful strategies for e-commerce businesses.
🟢 Open to workExplore my projects focused on e-commerce data analysis, where I leverage tools like Google Analytics and Shopify to drive business growth.
Breaking Games · Sep 2026 · ✅ Verified by Extern
A Breaking Games externship focused on analyzing e-commerce and marketing data to understand how online shoppers move from awareness to purchase.
Analyzed 2,000 CFPB consumer complaint records using R and Tableau to identify complaint trends, response patterns, and regulatory risk factors across major credit bureaus. Developed a supervised decision tree model and engineered complaint classification features to automate the routing of consumer disputes through regulatory resolution workflows, including dispute management, fraud alerts, debt verification, and human escalation protocols. Integrated decision-tree business logic into a GPT4All chatbot, creating an AI-driven complaint triage framework designed to improve response efficiency, support compliance requirements, and reduce manual case-routing efforts.
As part of a team project in my Principles of Management class, I helped design, test, and refine a simulated frozen-treat business, using rapid prototyping and data analysis to inform strategic decisions. The project explored startup planning alongside an interactive food truck simulation, allowing us to test various business models across products, locations, and vehicle types (pushcart vs. truck) in a dynamic, data-rich environment.
Developed a robust, analytics-ready relational database to support the NFL's strategic and operational decision-making. The project focused on modeling and organizing critical data domains-including Teams, Players, Coaches, Games, Stadiums, and Ticket Sales-to provide league executives with meaningful insights into league performance and operations.
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Pfizer · ✅ Verified by Extern · ⏱️ In progress
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
I explore consumer behavior through data analysis, aiming to transform insights into impactful strategies for e-commerce businesses.
I am an aspiring data analyst with a passion for understanding consumer behavior in e-commerce. Currently engaged in an externship with Breaking Games, I am diving into the world of online shopping analysis to uncover insights that can drive sales and improve customer experiences.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
In progress
Experience
Extern
Breaking Games · Jul 2026 - Present
Digital Support
Koala Web Design · Jun 2026 - Present
Crew Member
Dunkin Donuts · Aug 2021 - May 2022
Education
University of Georgia
Management Information Systems · Class of 2026
Skills
✅ Verified by Extern
A Breaking Games externship focused on analyzing e-commerce and marketing data to understand how online shoppers move from awareness to purchase.
The work analyzed exported e-commerce and advertising data alongside a personal purchase narrative to map a gym-shoe shopping journey. The project produced a step-by-step funnel table documenting touchpoints, emotions, and decisions at each stage, plus a channel-level comparison of pageviews, add-to-cart, bounce, and checkout rates. The analysis found that Google referrals had higher engagement
I produced a step-by-step funnel table mapping a gym-shoe purchase journey and a comparative dataset of pageviews, add-to-cart, bounce, and checkout rates by referral source, noting that Google referrals outperformed Facebook on engagement and conversions.
Analyzed 2,000 CFPB consumer complaint records using R and Tableau to identify complaint trends, response patterns, and regulatory risk factors across major credit bureaus. Developed a supervised decision tree model and engineered complaint classification features to automate the routing of consumer disputes through regulatory resolution workflows, including dispute management, fraud alerts, debt verification, and human escalation protocols. Integrated decision-tree business logic into a GPT4All chatbot, creating an AI-driven complaint triage framework designed to improve response efficiency, support compliance requirements, and reduce manual case-routing efforts.
As part of a team project in my Principles of Management class, I helped design, test, and refine a simulated frozen-treat business, using rapid prototyping and data analysis to inform strategic decisions. The project explored startup planning alongside an interactive food truck simulation, allowing us to test various business models across products, locations, and vehicle types (pushcart vs. truck) in a dynamic, data-rich environment.
Developed a robust, analytics-ready relational database to support the NFL's strategic and operational decision-making. The project focused on modeling and organizing critical data domains-including Teams, Players, Coaches, Games, Stadiums, and Ticket Sales-to provide league executives with meaningful insights into league performance and operations.
✅ Verified by Extern · ⏱️ In progress
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
The externship prototyped an AI document-intelligence pipeline combining OCR, large language models, and retrieval-augmented generation to process enterprise PDF workflows. Work included researching foundational LLM concepts, designing extraction and retrieval approaches, and producing demo artifacts that illustrate automated document understanding.
I researched core LLM concepts and their role in document intelligence, then applied those concepts to design a prototype pipeline for OCR, extraction, and RAG workflows.
