Aspiring Data Analyst

Sean Doyle

Turning data into insights and predictions

Get in Touch
Professional headshot of Sean Doyle

About Me

My name is Sean Doyle. I am a Business Analytics and Information Systems student from the Chicago suburbs, currently attending the University of Iowa and graduating in May 2027. I work with SQL, Python, Power BI, and Excel to turn complex, messy data into insights that drive real decisions.

I take a project driven approach to my work and am most effective when I can move from a raw dataset to a clear, actionable finding. Whether that involves building relational databases, running regression models, or integrating large datasets into a single analytical view, I focus on delivering meaningful results.

I bring this approach to teams that value analytical thinking, clear communication, and execution.

Kinnick Stadium at the University of Iowa

Go Hawks
October 18, 2025

Skills

Core Tools

  • SQL
  • Oracle SQL
  • Python
  • Excel
  • Power BI

Analytics

  • Data Analysis
  • Data Cleaning
  • Regression Analysis
  • Statistical Modeling
  • Predictive Analytics

Data Visualization

  • Power BI Dashboards
  • Chart Design
  • Reporting
  • Visual Storytelling

Business & Supporting

  • Business Insights
  • Problem Solving
  • APIs & JSON
  • AI (Applied Usage)

Projects

Unicorn Database Project

Oracle APEX  ·  SQL

  • Designed and implemented a relational database analyzing 1,000+ global unicorn companies
  • Built a normalized schema and ERD with multiple relational tables to support complex queries
  • Used SQL joins and CASE logic to surface funding patterns, geographic distribution, and industry trends

MLB Predictive Analytics Sheet

Google Sheets

  • Integrated 500+ player statistics across 30+ MLB teams into a unified dataset
  • Used VLOOKUP and advanced formulas to combine and cross-reference multiple data sources
  • Analyzed player performance trends across multiple timeframes to support predictive insights

College Rating Analysis Project

Excel

  • Analyzed institutional metrics including student-teacher ratios and academic outcomes
  • Applied regression analysis to identify relationships between key variables and college ratings
  • Identified the strongest performance drivers and validated findings against known benchmarks

Contact

I'm available for data analyst and business analyst opportunities. Feel free to reach out.

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