Hi, I’m Mike Owona. I’m a data scientist based in Austin, TX, passionate about turning data into actionable insights that improve operations and customer experiences. Over the past several years I’ve built and deployed dashboards, models, and automation across real estate, logistics, and retail. I enjoy collaborative problem solving, experimenting with new tools, and communicating results in clear, business-friendly language.

Mike Owona

Hi, I’m Mike Owona. I’m a data scientist based in Austin, TX, passionate about turning data into actionable insights that improve operations and customer experiences. Over the past several years I’ve built and deployed dashboards, models, and automation across real estate, logistics, and retail. I enjoy collaborative problem solving, experimenting with new tools, and communicating results in clear, business-friendly language.

Available to hire

Hi, I’m Mike Owona. I’m a data scientist based in Austin, TX, passionate about turning data into actionable insights that improve operations and customer experiences.

Over the past several years I’ve built and deployed dashboards, models, and automation across real estate, logistics, and retail. I enjoy collaborative problem solving, experimenting with new tools, and communicating results in clear, business-friendly language.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Work Experience

Data Scientist in Office of the Chief Operating Officer at Greystar
May 1, 2023 - Present
Led requirement-gathering sessions, defined operational KPIs, and developed interactive dashboards (Power BI/Tableau) using exploratory, explanatory, prescriptive, and predictive analyses — enabling real-time performance tracking, optimizing leasing-agent follow-up strategies, improving maintenance workload efficiency, and increasing Lead-to-Lease website conversions by 3%. Built an automated property clustering pipeline (K-Means, PCA) to segment 3,000+ residential properties across 28 regions, engineered features from property characteristics, demographics, and performance metrics, and created interactive maps and dashboards to inform portfolio decisions. Developed a social listening app to monitor TikTok, Twitter, and Reddit for emerging tenant issues and reputation risks, with data collection via APIs and web scraping, automated video transcription, and intelligent duplicate prevention.
Data Analyst in Logistics at Apple Inc.
November 1, 2021 - February 1, 2023
Partnered with internal logistics teams and third-party providers to design a monitoring framework for corrugate supply flow between the U.S. and international suppliers, aimed at preventing customer delivery delays. Applied optimization techniques to monitor and manage headcount across multiple distribution centers, integrating insights into an interactive dashboard to support resource planning.
Space Planning Data Analyst at Whole Foods
February 1, 2020 - October 1, 2020
Space planning data analysis to optimize store layouts and product placement.
Data Spatial Data Analyst at Apple Inc.
October 1, 2017 - March 1, 2018
Analyzed spatial data to optimize store operations, inventory placement, and workflow.

Education

Master of Science in Data Science at Texas Tech University, Rawls College of Business
August 1, 2018 - August 1, 2019
Bachelor of Science in Economics at North Carolina A&T State University, Willie A. Deese College of Business and Economics
June 1, 2015 - June 1, 2017

Qualifications

Dean’s Honor List
January 11, 2030 - January 6, 2026
Student Athlete
January 11, 2030 - January 6, 2026

Industry Experience

Retail, Software & Internet, Transportation & Logistics, Professional Services