Professional Background
Name: Steven Orgill
Current Role: Data Scientist at Zelus Analytics
Additional Role: Motion Research Fellow at the Minnesota Twins
Location: Austin, TX
LinkedIn: [https://www.linkedin.com/in/steven-orgill](https://www.linkedin.com/in/steven-orgill)
Education
Institution: Brigham Young University
Degrees:
- Bachelor's degree in Statistics: Data Science (2021)
- Master's degree in Statistics (2021)
Certifications:
- Building Deep Learning Applications with Keras 2.0 (LinkedIn, 2019)
- Building a Recommendation System with Python Machine Learning & AI (LinkedIn, 2019)
Professional Experience
Zelus Analytics (November 2021 - Present)
- Role: Data Scientist
- Responsibilities: Analyzes survey data and creates visuals to communicate findings, contributing to reports and decision-making processes.
Minnesota Twins
- Role: Motion Research Fellow
- Duration: Concurrent with position at Zelus Analytics
Southwest Airlines (2019)
- Role: Data Science & Analytics Intern - Marketing
- Responsibilities: Created a churn model to predict if a customer will stop flying Southwest Airlines in the near future.
ExxonMobil (2018, 2020)
- Role: Data Science & Analytics Intern
- Responsibilities: Engagements in data-driven projects and analytic tasks within different departments.
Fresh Gravity (2018)
- Role: Research Analyst in Statistics and Data Science
- Responsibilities: Worked on projects involving statistical analysis and data science applications.
Brigham Young University (2018)
- Roles:
- Teaching/Research Assistant
- Artificial Intelligence Intern
Key Skills and Achievements
- Statistical Analysis: Extensive expertise in statistical methods, particularly in sports analytics, marketing, and oil industries.
- Machine Learning: Proficient in building and deploying machine learning models, including deep learning applications.
- Data Visualization: Advanced ability to create meaningful data visualizations to communicate complex findings clearly.
- Industry Experience: Broad experience catering to sectors such as sports, airlines, and oil, highlighting versatility and ability to adapt to different industries.
Professional Network
- David Conneely: Data Scientist, Signol
- Bryan Mayfield: Senior Data Scientist & Engineer, Precision Analytical
- Lewis Armistead: Senior Data Scientist, Green Street Power Partners
- Jason Preszler: Senior Data Scientist, Mesmerise Group
- Kate Lee: Senior Data Scientist, Petco
Steven Orgill's comprehensive background in data science, reinforced by his dual role at Zelus Analytics and the Minnesota Twins, alongside his robust educational foundation from Brigham Young University, positions him as a high-caliber professional in the field. His diverse industry experience and specialized skills in statistical analysis and machine learning make him an invaluable contact, especially for initiatives involving advanced data analytics and predictive modeling capabilities.
