Currently an Extern @Pfizer
I turn messy data into structured databases and dashboards that inform decisions, currently completing a Breaking Games externship.
🟢 Open to workProjects include an externship at Breaking Games converting CSVs into a production-style analytics database and a Q4 decision dashboard using SQL and Claude.
Breaking Games · Aug 2026 · ✅ Verified by Extern
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
Cross-platform social app (Flutter/Dart) for Android, iOS, and web. Designed and enforced a feature-based Clean Architecture with Riverpod state management and a Firebase backend (Auth, Firestore, Cloud Storage, Cloud Functions, FCM), writing code standards and documentation to keep a multi-contribu
Android tablet POS system for liquor retail. Participated in requirements analysis and UI prototyping with the client, designed a Firebase backend with role-based access control and secure transaction processing, built monitoring tooling for production, and automated inventory tracking and vendor pu
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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 turn messy data into structured databases and dashboards that inform decisions, currently completing a Breaking Games externship.
I am a senior Computer Science student at Full Sail University finishing my bachelor's while exploring a career shift. I work on data and database projects, including an externship building an analytics database and dashboard from messy CSVs.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
Pfizer
Experience
Customer Service Representative
Inspira Financial · May 2024 - Present
Customer Service Representative
Assurant · Apr 2019 - May 2024
Electronic Services Specialist
Achieva Credit Union · Jun 2014 - Mar 2019
Education
Full Sail University, Winter Park, FL
B.S. Computer Science — Mobile Development Concentration · Class of 2027
Full Sail University, Winter Park, FL
A.S. Computer Science · Class of 2026
Skills
✅ Verified by Extern
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The externship converted six provided e-commerce sources into a local SQLite analytics database. The work installed DB Browser for SQLite, opened the supplied breaking_games.db, and verified that all six tables were populated and queryable. It also traced a fragmented customer journey, created a dim_product table, and produced a product performance table that flagged top sellers and SKUs with
I produced and validated a local breaking_games.db containing six populated tables, created dim_product as a clean product dimension, and generated a product performance table that identified top sellers and products with traffic but no sales.
Cross-platform social app (Flutter/Dart) for Android, iOS, and web. Designed and enforced a feature-based Clean Architecture with Riverpod state management and a Firebase backend (Auth, Firestore, Cloud Storage, Cloud Functions, FCM), writing code standards and documentation to keep a multi-contribu
Android tablet POS system for liquor retail. Participated in requirements analysis and UI prototyping with the client, designed a Firebase backend with role-based access control and secure transaction processing, built monitoring tooling for production, and automated inventory tracking and vendor pu
✅ 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 project developed prototype document-intelligence workflows combining OCR, LLMs, and RAG techniques. The work reviewed foundational LLM concepts and applied them to design how extracted text and embeddings could be used in downstream document search and question answering. Deliverables included documented research and implementation notes related to model behavior and retrieval strategies.
I analyzed a multi-part pharmaceutical vendor file, cataloging six date formats, identifying retest and superseded-version dates, flagging repeated disclaimers and near-duplicate statements, and documenting OCR risks such as checkbox ambiguity and redactions.
I inspected a multi-part vendor file, identified six date formats, noted retest and superseded-version dates, flagged repeated disclaimers and near-duplicate statements, and recorded OCR risks like checkbox ambiguity and redactions.
The module presented messy text and a noisy scanned image. I cleaned and standardized text (HTML removal, encoding fixes, price normalization, contraction expansion, punctuation handling) and applied median blur, grayscale, and CLAHE to denoise and enhance a scanned document, producing a cleaned…