Summary
Overview
Work History
Education
Skills
Websites
Projects
Timeline
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Matthew Omopariola

Dallas,TX

Summary

Aspiring data analytics professional currently completing the University of Texas at Arlington's Data Analytics and Visualization Bootcamp (completion: Dec 2025). Skilled in Python, SQL, Tableau, Power BI, and Excel, with hands-on project experience in data cleaning, visualization, and predictive analysis. Brings a strong foundation in teamwork, problem solving, and attention to detail from prior roles in healthcare and aerospace engineering.

Overview

7
7
years of professional experience

Work History

Behavioral Health Technician

Red River Hospital
Wichita Falls, TX
01.2025 - 06.2025
  • Maintained accurate, detailed patient records in compliance with healthcare standards.
  • Observed and documented patient behaviors, reporting patterns to clinical teams.
  • Collaborated with nurses, therapists, and physicians to support individualized care plans.

Engineering Intern

Lockheed Martin
Fort Worth, TX
05.2018 - 08.2019
  • Supported data collection, analysis, and quality assurance for aerospace projects.
  • Prepared technical documentation and presentations to assist senior engineers.
  • Coordinated with cross-functional teams to troubleshoot and optimize processes.

Education

Data Analytics & Visualization Bootcamp -

University of Texas At Arlington
Arlington
12.2025

Skills

  • Programming and analysis: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL (queries, joins, aggregations)
  • Visualization tools: Tableau, Power BI; data handling: data cleaning, transformation, and statistical analysis
  • Other tools: Excel (PivotTables, VLOOKUP, conditional formatting), Google Sheets, Git/GitHub

Websites

Projects

Retail Sales Dashboard - Tableau,

- Designed interactive dashboards visualizing sales trends, profit margins, and product performance by region.

- Automated KPI updates via live data connections, reducing manual reporting time by 50%. 

Customer Churn Prediction - Python & SQL, 

- Cleaned and merged customer transaction data using Pandas and SQL queries.

- Built logistic regression model to predict churn risk with 85% accuracy, enabling targeted retention strategies. 

Housing Market Analysis - Power BI, 

- Analyzed housing sales data to identify price trends and influencing factors.

-Created drill-through dashboards for stakeholders to explore regional metrics interactively.

Timeline

Behavioral Health Technician

Red River Hospital
01.2025 - 06.2025

Engineering Intern

Lockheed Martin
05.2018 - 08.2019

Data Analytics & Visualization Bootcamp -

University of Texas At Arlington

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