Jonathan Poeder

Hello! Thanks for paying me a visit!

My name is Jonathan, and I'm a passionate data scientist interested in solving complex problems with AI/ML tools . I have 15+ years of experience in advanced analytics along with both a BS & MS in economics from the University of North Carolina at Charlotte, post-graduate certificate in AI/ML from UT Austin, and am currently pursuing a second MS in artificial intelligence from Johns Hopkins.

I started my career with Nielsen on a global research and development team called GRAD, with a specialization in the forecasting practice area. My most notable achievement was the development of a modeling platform that automated the Box-Jenkins methodology for time series (ARIMA), among a number of other model specifications. This platform was used to win P&G's global forecasting business and had 4 patent applications from Nielsen. That multi-year project was the catalyst for a deep interest in predictive modeling and applying those tools in a way that drives meaningful value for organizations. The experience lead to work in credit risk and technology primarily working on building end-to-end ML models, model monitoring and validation platforms, ETL pipelines, algorithms, KPIs. Check out my portfolio for all of my projects, micro-projects, skills, certificates, and achievements.

Currently, my family and I reside in Cincinnati, OH and in my free time I like to read, work on my rackmount server, kayak when the weather permits, spend time with the wife and kids, and play volleyball when I can get on a team!

Finally, over the years I've successfully completed a number of consulting engagements - please reach out with requests if your organization doesn't have in-house data science resources.