I’m Tyler Pollard, a statistician with over 7 years of experience in statistical design and analysis, Bayesian statistics, predictive modeling, and interactive dashboards. My passion lies in transforming complex data into actionable insights - whether that means developing probabilistic models, optimizing decision-making, or building dynamic data visualization tools.
Professional Background
Originally from Baltimore, MD, I earned my B.S. in Mechanical Engineering from Clemson University, where I developed a strong analytical mindset before transitioning into statistics. I began my career at the U.S. Army Evaluation Center (AEC) as a statistician, where I led 25+ teams across survivability, vulnerability, effectiveness, and reliability assessments. My work included designing experiments, developing advanced statistical models, and building R Shiny dashboards to evaluate critical military defense systems.
For my contributions, I was honored with:
🎖️ The Department of the Army Civilian Service Commendation Medal
🎖️ AEC Employee of the Quarter Award
While at AEC, I pursued my Master of Statistics at North Carolina State University, where I developed as a statistician with a strong foundation in statistical theory and methodology, focusing on Bayesian inference, multilevel modeling, time series forecasting, and data science. My graduate studies provided a solid theoretical framework that I’ve since expanded through hands-on experience - integrating advanced statistical techniques into real-world applications.
Current Role
Now living in Florida, I work as an Operations Research Analyst (ORSA) at U.S. Special Operations Command (USSOCOM), where I apply Bayesian modeling, predictive analytics, and data science methodologies to support decision-making in high-stakes environments. My work involves developing statistical models, optimizing operational strategies, and providing data-driven insights to enhance mission effectiveness.
Beyond my professional work, I continuously seek opportunities to expand my expertise through independent research, software development, and writing. My in-depth analytical reports—many of which originated as graduate research that I’ve since significantly enhanced—are now featured as comprehensive Case Studies. For a look at my more technical work, including interactive apps, R packages, and system architecture, you can explore my Projects. I’ve also recently launched a Blog to share shorter insights, tutorials, and my ongoing deep dives into NFL analytics. Together, these collections reflect my ongoing commitment to leveraging data science in innovative, practical, and meaningful ways.
Beyond the Numbers
When I’m not working with data, you’ll probably find me in the gym, on the pickleball courts, on the golf course, or lying by the beach. I love anything that involves optimizing performance - whether it’s refining a model, dialing in my swing, or testing out the latest nutrition trends.
I’m also a huge Baltimore Ravens, Orioles, and Clemson Tigers fan, and I’m always looking for ways to blend sports and analytics (even if it’s just to justify why my team should’ve gone for it on 4th down).
Let’s Connect
I’m always open to discussing data-driven challenges, Bayesian modeling, and collaborative opportunities. Feel free to connect with me on LinkedIn or explore my work on GitHub.