Currently an Extern @Breaking Games
I transform complex information into efficient workflows, reliable systems, and actionable insights.
🟢 Open to workExplore my projects focused on AI document insights and data extraction, showcasing my developing skills and hands-on experience.
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Pfizer · Aug 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.
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 transform complex information into efficient workflows, reliable systems, and actionable insights.
I'm an aspiring professional with experience developing software, automating data workflows, and using analytics to solve real-world problems. Across UN Women, Pfizer, IBM, and manufacturing, I have built Python and SQL pipelines, databases, dashboards, APIs, and intelligent document-processing tools. My work has reduced a reporting process from days to approximately two hours and improved database performance by 40%. I’m especially interested in software, data analytics, and systems roles where I can build useful technology and deliver measurable results.
Externships
SQL & Database Architecture Externship with Breaking Games
Breaking Games
Experience
Information Technology Intern with Data Engineering Focus
Image One Industries · Jul 2026 - Aug 2026
Strategic Planning Unit, Systems & Data Analytics Intern
United Nations – UN Women · Jul 2025 - Jan 2026
Client Engineering & Technical Sales Apprentice
IBM · May 2023 - Aug 2023
Education
New York University
B.S. Computer Science · Class of 2025
Skills
✅ 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 externship prototyped AI-based document intelligence for pharmaceutical PDFs, combining OCR, layout-aware extraction, Python preprocessing, and RAG experiments. Deliverables included Colab notebooks, image-enhancement scripts, PyMuPDF extraction that returned text with bounding boxes, a quantitative OCR comparison, and multiple RAG configurations evaluated against sterilization and
I produced cleaned datasets and enhanced OCR images, extracted text and bounding boxes from multi-page pharmaceutical PDFs, compared three OCR engines with region and confidence metrics, evaluated multiple RAG configurations, and generated page-level JSON mappings that labeled document boundaries and types.
✅ 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 consolidated six messy CSVs from Breaking Games into a structured analytics dataset and produced a Q4 dashboard. The work involved auditing source files, designing a database schema, writing ingestion and transformation SQL, and assembling dashboard queries and visualizations for Q4 metrics.
I catalogued six data sources, documented which columns supported specific analyses, identified missing signals, and produced a weekly running playbook containing an executive-summary placeholder, a data inventory, and query prompts.
I catalogued each of the six data sources, noted what columns and questions each supported or could not answer, and drafted a weekly running playbook (executive summary placeholder, data inventory, and query prompts).
