Currently an Extern @Pfizer·🟢 Open to work
Accounting & data analytics student at Rider, headed for FP&A. I build financial models, dashboards, and better processes — currently across three jobs and a full course load
Explore my portfolio, featuring projects that highlight my expertise in data analysis, dashboard creation, and operational management.
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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.
Accounting & data analytics student at Rider, headed for FP&A. I build financial models, dashboards, and better processes — currently across three jobs and a full course load
I'm Fareid Tatanaki, an Accounting & Business Data Analytics double major at Rider University (Class of 2029), headed for FP&A and corporate finance on the CPA track. I find the story inside financial data, I've built a budget variance dashboard modeling $50,000 in spend, run a student org's books as treasurer, and balance three jobs across operations analytics, IT support, and healthcare administration. I'm also currently completing a Pfizer-sponsored externship in AI-powered document intelligence. I live in Princeton, NJ and I'm bilingual in English and Arabic. I'd love to connect!
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
Pfizer
Experience
Marketing Coordinator Intern | Operations & Analytics
Alpine Painting & Sandblasting Contractors, Paterson, NJ · July 2026 – Present
OIT Student Assistant | IT Support
Rider University, Lawrenceville, NJ · March 2026 – Present
Healthcare Administrative Assistant
Springpoint Senior Living, Montgomery, NJ · December 2025 – Present
Education
Rider University – Norm Brodsky College of Business, Lawrenceville, NJ
Bachelor of Science in Business Administration · Class of 2029
Skills
✅ 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 explored AI-powered document intelligence methods, combining OCR, large language models, and retrieval-augmented generation. The work surveyed LLM architectures and integration patterns and documented how those components can be combined to extract structured data from enterprise PDFs.
I documented how large language models tokenize input, apply transformer attention across tokens, are trained on large corpora, and are fine-tuned with human feedback to improve outputs for document processing.
I summarized LLM mechanics: tokenization to break text, transformer attention to link distant tokens, pretraining on large text corpora, and fine-tuning with human feedback. The submission recorded those core concepts and their role in model behavior.
