Dishant Banga is a Senior Statistical Analyst at Bridgetree since April 2019, with prior experience as a Data Scientist at Arthmetis and various roles at the University of North Carolina at Charlotte, including Research Assistant and Graduate Teaching Assistant. Specializing in data collection, analysis, and model validation using Python, MATLAB, and SAS Enterprise Guide, Dishant has built predictive models for gas consumption utilizing advanced techniques such as Neural Networks and Gradient Boosting. Prior roles include Technology Commercialization Consultant Intern at SBTDC, where Dishant implemented regression models for financial analysis, and Application Developer Analyst at Accenture, focusing on data management and reporting. Dishant holds a Master's degree in Systems Engineering and Engineering Management from the University of North Carolina at Charlotte and a Bachelor of Technology in Mechanical and Automation Engineering from Dr Akhilesh Das Gupta Institute of Technology & Management.
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