Aaron Kelly

Aaron Kelly has a diverse work experience in the field of data science. Aaron is currently working as a Lead Data Scientist at Schneider since October 2022. Prior to this, Aaron worked at Emerald Valley Consulting Group / Pono Clean Power as a Data Consultant / IT Leader from January 2019 onwards. Aaron also served as a Senior Data Scientist at Kiavi from December 2021 to August 2022.

Before joining Schneider, Aaron worked at iHeartMedia as a Data Scientist from December 2019 to December 2021. During their time there, they designed and coded various applications and frameworks to predict song popularity, streamline feature engineering pipelines, and generate performance metrics. Aaron also developed models to predict business foot-traffic during the Covid pandemic and the number of podcast downloads.

Aaron's earlier experience includes working as a Senior Data Scientist at Samba TV from March 2019 to November 2019. Aaron was responsible for designing data pipelines, deploying and maintaining spark pipelines, and developing new data products. Prior to that, they worked as a Data Scientist at Samba TV from May 2017 to March 2019.

Aaron also has experience as a Data Science Fellow at Insight Data Science, a Research Assistant at Baylor College of Medicine, and a Business Development Intern at Fannin Innovation Studio. Additionally, they worked as a Pre-doctoral Fellow at CPRIT and a Tutor at Dickinson State University.

Overall, Aaron Kelly has demonstrated their expertise in data science through their diverse roles and contributions in various organizations.

Aaron Kelly has a Master of Science - MS degree in Quantitative and Computational Biosciences from Baylor College of Medicine, which they obtained in 2018. Prior to that, they attended Dickinson State University from 2007 to 2012, where they earned a Bachelor of Science - BS degree with a major in Mathematics and a minor in Business Administration. Additionally, Aaron has obtained various certifications, including Supply Chain Analytics Foundations, Supply Chain Foundations, Understanding Logistics, Building and Deploying Deep Learning Applications with TensorFlow, and NLP with Python for Machine Learning Essential Training. The certification dates are not provided.