Elder Research
Kyle Lee is an accomplished data scientist and statistician with extensive experience in data science, machine learning, and statistical modeling. Currently serving as a Data Scientist II at Elder Research, Inc., Kyle specializes in designing and implementing solutions using R and Python, with a focus on natural language processing. Previous roles include Technical Editor at Wiley-Blackwell, Statistician at the FDA, and Data Science Intern at SmarterHQ, where innovative models and analytical techniques were developed. Kyle's educational background includes a Master of Science in Computer Science from Georgia Institute of Technology and a Master of Science in Statistics from San Diego State University, complemented by a Bachelor of Science in Statistics and Probability from UC San Diego.
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Elder Research
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Elder Research is a recognized industry leader in the science, practice, and technology of advanced analytics with vast experience in data transformation and model construction.