Pfizer Externship via Extern
Frank Ponce portrait

Using data and AI to drive smarter business strategy

Data science master's student (Erasmus Mundus EDISS) who builds AI agents, analytics and dashboards that turn raw data into business insight and strategic decisions.

Work samples

Projects where data and AI meet business decisions: agents for market and competitor intelligence, document automation, BI dashboards and research, each with the real deliverables embedded so you can explore them right here.

  • Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship
    Pfizer logo

    Pfizer · ✅ Verified by Extern · ⏱️ In progress

    Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

    Prototype AI-powered document intelligence with Pfizer—using OCR, LLMs, and RAG to automate real enterprise PDF workflows and build a standout portfolio project.

    AI & MLPythonDocument IntelligencePresentation Skills
  • Competitor Demand Prediction Using Job Postings
    CadetX logo

    CadetX · ⏱️ In progress

    Competitor Demand Prediction Using Job Postings

    A CadetX virtual work experience: using NLP and forecasting on job-posting data from major tech and AI companies to predict competitor demand, skill trends and market direction.

    NLPForecastingPythonCompetitive IntelligenceTeamwork

About me

Data science master's student (Erasmus Mundus EDISS) who builds AI agents, analytics and dashboards that turn raw data into business insight and strategic decisions.

Tech stack

  • Python
  • SQL
  • Pandas
  • Java
  • JavaScript
  • TypeScript
  • React
  • Node.js
  • HTML
  • CSS
  • Flask
  • Tableau
  • Power BI
  • Excel
  • Salesforce
  • n8n
  • Claude
  • Jira
  • GitHub
  • IntelliJ

I'm Frank, a data science master's student in the Erasmus Mundus EDISS programme at Åbo Akademi University in Finland, with a BS in Computer Science (Magna Cum Laude) from FIU. I want to help organizations use data and AI to make better strategic decisions: spotting market shifts earlier, understanding competitors, and rethinking how teams work with AI. So far I've built n8n AI agents that turned retail and competitor data into a live category-intelligence dashboard for Wayfair, evaluated conversational and multimodal AI models in English and Spanish at Invisible Technologies and Outlier, and published research on reinforcement learning for post-disaster road restoration. I care about AI that is accurate, explainable and tied to real business outcomes.

Externships

Pfizer Advanced: AI-Powered Document Insights & Data Extraction Externship

In progress

Wayfair AI Agent Engineering for Business Intelligence Externship

Completed · Aug 2026

Experience

Data Scientist (Virtual Work Experience)

CadetX · In progress

Part of a four-person data science team building a hiring-intelligence system from public job-posting data: collecting postings legally, extracting skills with NLP, analyzing hiring trends and forecasting competitor demand, working in weekly Scrum sprints with rotating lead roles.

AI Training Specialist

Outlier · Jun 2026 - Nov 2026

Evaluated and refined conversational AI models by reviewing audio transcripts and text prompt-response pairs in English and Spanish. Assessed the accuracy, linguistic naturalness and contextual nuance of speech and text outputs against strict project rubrics, and checked cross-lingual consistency and factual correctness to improve LLM voice-and-text interactions.

Multimodal Agent Evaluator

Invisible Technologies · May 2026 - Aug 2026

Evaluated conversational AI agents on comprehension, response quality, task completion and adherence to business rules. Audited JSON tool-call outputs to catch hallucinations, parameter errors and workflow failures, and produced labeled training data and feedback to make the models more reliable.

Data Analyst Sprintern

StartupFIU · Jan 2024 - May 2024

Analyzed and feature-engineered demographic and event-attendance data with Pandas and Excel, applied NLP models to text data, and presented insights on growing community engagement.

Business Intelligence Intern

CDR Companies · Aug 2023 - Dec 2023

Developed and tested features on the CDR Health Salesforce platform through Jira tickets, analyzed database objects and visualized them in Tableau, and built a dashboard component that made inserting records into the SQL database simpler.

Volunteering

CS Teacher Volunteer

Wesley Matthews Elementary School · Aug 2024 - Dec 2024

Taught elementary students the fundamentals of programming through interactive Scratch projects, breaking technical ideas down into simple, hands-on lessons.

Education

EDISS | Erasmus Mundus Joint Master Degree

Engineering of Data-intensive Intelligent Software Systems · Class of 2028

A two-year joint master's run by Åbo Akademi University (Finland), the University of the Balearic Islands (Spain), the University of L'Aquila (Italy) and Mälardalen University (Sweden).

Åbo Akademi University | Turku, Finland

MS Data Science · Class of 2028

Florida International University | Miami, United States of America

BS Computer Science · Class of 2025

Graduated Magna Cum Laude (GPA 3.75).

Skills

AI for Business StrategyData AnalysisAI EngineeringBusiness IntelligenceData ScienceMachine Learning