![](https://cdoiq2024.org/wp-content/uploads/2024/06/Maj.-Daniel-Baller.jpeg)
Major Daniel Baller, Data Scientist, U.S. Army Intelligence and Security Command
MAJ(P) Daniel Baller is a Data Scientist in the US Army Intelligence and Security Command (USAINSCOM) assisting the command in making better data driven decisions.
A 2008 West Point graduate, MAJ Baller received a Bachelor’s of Science in Operations Research with Honors and commissioned as a Military Intelligence officer. He served as a platoon leader, executive officer, battalion intelligence officer, and company commander in a variety of locations to include Fort Hood, Texas; Balad Air Base, Iraq; Camp Casey, Korea; Camp Humphreys, Korea; and Yongsan, Korea. He transitioned to Functional Area 49 (Operations Research Analyst) in 2019.
Following company command MAJ Baller earned his Masters of Operations Research with honors from the Georgia Institute of Technology. While completing his studies he served at the President of the Georgia Tech Graduate school chapter of the Institute of Industrial and Systems Engineers (IISE).
Prior to joining INSCOM MAJ Ballers spent 4 years as an Assistant Professor in the Department of Mathematical Sciences and additionally served as the Director for the Center for Data Analysis and Statistics (CDAS) at the United States Military Academy, West Point, New York. He has taught Mathematical Modeling and Intro to Calculus, Probability and Statistics, Applied Statistics, and Sabermetrics. While teaching he advised 10 honors theses and published academic journal articles in a variety of topics to include, fetal/placental growth, statistics education, sports science, and text analysis.
Currently MAJ Baller is continuing research efforts in coordination with the United States Military Academy and Texas Tech University and serves as a reviewer for the American Journal of Clinical Nutrition, The International Journal of Obesity, and PLOSOne. MAJ Baller is also one of the Army’s primary trainers for the Data Literacy 101 course and holds the R1J Data Science PDSI and 5K Instructor ASI.
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