Vista Trade
Frutiger Aero-inspired React web app that helps you track stock prices with a real-time API and build a portfolio. Provides analytics for both stock prices and trading volume
Pfizer Externship via Extern
Pfizer Externship via ExternI'm a master's student in Data Science, passionate about utilizing AI to drive business intelligence and insights.
Explore my work in data science, focusing on AI applications and business intelligence during my externship.
Frutiger Aero-inspired React web app that helps you track stock prices with a real-time API and build a portfolio. Provides analytics for both stock prices and trading volume
Personal website showcasing my featured projects and Tableau/PowerBI dashboards
Honors College @ Florida International University · Dec 2025
Research paper
Wayfair · Aug 2026 · ✅ Verified by Extern
Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.
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'm a master's student in Data Science, passionate about utilizing AI to drive business intelligence and insights.
I'm a graduate student pursuing a Master's in Data Science, eager to kickstart my career. With a focus on business intelligence, I'm currently gaining hands-on experience through an externship at Wayfair, where I'm honing my skills in AI and data analysis.
Externships
Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
In progress
Experience
Data Analyst Sprintern
StartupFIU · Jan 2024 - May 2024
Business Intelligence Intern
CDR Companies · Aug 2023 - Dec 2023
Audio Agent Evaluator
Invisible Technologies · May 2026 - Ongoing
Education
Florida International University | Miami, United States of America
BS Computer Science · Class of 2025
Åbo Akademi University | Turku, Finland
MS Data Science | Erasmus Mundus EDISS · Class of 2028
Skills
Frutiger Aero-inspired React web app that helps you track stock prices with a real-time API and build a portfolio. Provides analytics for both stock prices and trading volume
Personal website showcasing my featured projects and Tableau/PowerBI dashboards
Honors College @ Florida International University · Dec 2025
Research paper
Research paper
✅ Verified by Extern
Learn one of the most in-demand skills shaping the future of work: building AI agents. In this externship, you’ll step into the role of an AI Agent Developer and use n8n to design agents that think, plan, and act on real data — automating insights, decisions, and workflows. No coding experience required. By the end, you’ll create a live dashboard powered by your own AI agents, gaining hands-on experience that applies to any role or industry — from marketing and consulting to product management and data science.
During my externship with Wayfair, I developed AI agents for business intelligence, focusing on market trends and competitive analysis. By utilizing n8n, I created agents that automated data insights, enhancing decision-making processes. The culmination of my work was a live dashboard powered by these agents, showcasing practical applications of AI in the retail sector.
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I produced tested prompt templates and moodboard outputs, a packaged trend report with a Loom demo, and a competitor-analysis PDF based on a unified retailer dataset.
✅ 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 focused on prototyping AI document-intelligence workflows for enterprise PDFs, combining OCR, retrieval-augmented generation, and LLM techniques. The work summarized technical foundations, compared model approaches, and produced explainable notes on LLM architectures and their components.
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I classified documents from a vendor file into quality, compliance, and technical categories, cataloged date formats present, and determined that pages lacked machine-readable text, requiring OCR for structured-data extraction.
I inspected the provided vendor file, classified documents (quality, compliance, technical), cataloged date formats found, and noted that pages lacked machine-readable text so OCR was required to extract structured data.