Ted M.
About Ted M.
Ted M. is a Senior Data Scientist with extensive experience in data analysis and visualization, having previously served as an Assistant Professor at Baylor University. He holds a Ph.D. in Finance from Texas A&M University and has worked in various roles across government and academia, employing advanced analytical methods and programming skills.
Work at ECS
Currently, Ted M. serves as a Senior Data Scientist at ECS, a position he has held since 2024. His role involves applying advanced analytical methods to support various data-driven projects. He works on-site in Washington, District of Columbia, contributing to the organization's objectives through his expertise in data science.
Previous Experience in Academia
Ted M. has a background in academia, having worked as an Assistant Professor at Baylor University from 2010 to 2016. During his tenure in Waco, Texas, he focused on research and teaching, contributing to the academic community for six years. He also served as an Assistant Professor at Northern Illinois University from 2006 to 2010.
Experience in Data Science Roles
Ted M. has held several data science positions prior to his current role. He worked at the Department of Homeland Security, Office of Inspector General as a Data Scientist from 2023 to 2024. He also served at the IRS Criminal Investigation from 2020 to 2023 and at the DoD Inspector General from 2018 to 2020. His experience includes utilizing large proprietary data sources and employing various analytical techniques.
Education and Expertise
Ted M. holds a Doctor of Philosophy (Ph.D.) degree in Finance from Texas A&M University. He also studied at Northwestern University, focusing on Research Methodology and Quantitative Methods. Additionally, he earned a Bachelor of Arts (B.A.) in Business/Managerial Economics from Wheaton College. His educational background supports his extensive expertise in data processing techniques and analytical methods.
Analytical Skills and Techniques
Ted M. employs a wide range of analytical methods in his work, including social network analysis, graph database analytics, and natural language processing. He is skilled in data processing techniques such as ETL, anomaly identification, and process automation. His proficiency in programming languages and data analytics software, including Python, R, SQL, and Cypher Query Language, enhances his ability to handle complex data sets.