Breaking Games Externship via Extern
Breaking Games Externship via ExternI build data-driven systems across AI automation, supply chains, and quantitative finance, by combining programming, analytics, and financial thinking to turn complex problems into practical tools.
My projects feature a Beats by Dre externship focused on survey and review analysis, a Pfizer externship for prototyping OCR and LLM document processing, and an Excel and AI financial modeling sprint.
Beats By Dre · Aug 2025 · ✅ Verified by Extern
A Beats by Dre externship focused on extracting qualitative and quantitative consumer insights from surveys and reviews using Python, AI tools, and data visualizations.
Pfizer · Apr 2026 · ✅ Verified by Extern
Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.
Personal Project · Aug 2024
Breaking Games · ✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
I build data-driven systems across AI automation, supply chains, and quantitative finance, by combining programming, analytics, and financial thinking to turn complex problems into practical tools.
I’m Oluwanifemi Fabunmi, a computer science student at Clarkson University with a passion for data analytics and AI. I create prototypes that analyze consumer feedback and develop document intelligence and financial modeling workflows. My externship projects have allowed me to work hands-on with tools like Python, OCR, LLMs, RAG, and data visualization. I thrive on transforming complex data into actionable insights, and I’m excited to continue exploring the intersection of technology and real-world applications.
Externships
SQL & Database Architecture Externship with Breaking Games
In progress
Experience
Data Analytics & Insights Intern (Lead)
Cobble · Jul 2025 - Sep 2025
Education
Clarkson University
Bachelor's of Engineering Computer Science · Class of 2027
Clarkson University
B.S. Financial Information and Analysis (Double Major) · Class of 2027
Skills
✅ Verified by Extern
A Beats by Dre externship focused on extracting qualitative and quantitative consumer insights from surveys and reviews using Python, AI tools, and data visualizations.
The externship combined qualitative and quantitative analysis of consumer feedback for Beats by Dre. The work processed survey and review data, ran statistical and sentiment analyses, and produced visualizations and presentation materials. Deliverables included a mapped AIDA customer journey, cleaned survey analyses, sentiment charts from Amazon reviews, and a structured presentation draft.
I produced a full-stage AIDA customer journey for middle-aged wellness seekers, cleaned and analyzed 4,764 survey responses with quantitative and qualitative summaries, ran sentiment analysis on scraped Amazon reviews, and drafted a structured presentation with slide visuals and recommendations.
✅ Verified by Extern
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 work prototyped an end-to-end document intelligence pipeline for pharmaceutical supplier documents, combining OCR, extraction heuristics, and Retrieval-Augmented Generation. Deliverables included extraction notebooks, OCR comparisons, RAG configurations and evaluations, a Gradio chatbot, and a Colab demo with performance metrics.
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I produced a complete pharma-focused document intelligence prototype: OCR experiments, extraction scripts with bounding-box logic, tuned RAG pipelines with retrieval comparisons, a Gradio chatbot, and a Colab demo with measured recall, MRR, and response metrics.
Personal Project · Aug 2024
• Built a modular trading system with real-time market data ingestion, live trade execution simulation (including realistic latency/slippage modeling), and multi-asset portfolio monitoring
- Implemented and backtested strategies (moving average crossover, RSI-based signals) against historical market data, computing risk-adjusted performance metrics (Sharpe ratio, Sortino ratio, annualized return/v
✅ Verified by Extern · ⏱️ In progress
Turn six messy CSVs into an analytics database and a Q4 dashboard that drives real business decisions. SQL + Claude.
The externship converted six raw CSV data sources into a consolidated analytics database and a Q4 dashboard, using SQL and Claude. The work mapped each source, defined cleaning and schema transformations, and prepared the data for dashboarding and query-driven analysis.
I turned six unstructured CSVs into a cleaned, queryable analytics dataset and a Q4 dashboard-ready schema, documenting source contents, gaps, and transform rules for reproducible ingestion.
