Gautham Bekal

Gautham Bekal is a data scientist currently employed at T-Mobile. His professional background includes a strong focus on data science and machine learning, particularly in developing frameworks for forecasting and analytics.

Education and Early Career

Gautham Bekal holds a degree from the University of North Carolina at Charlotte, where he specialized in data science. He has also worked in various roles prior to his current position, including positions at Informative Technologies Inc. and as a graduate student researcher at UNC Charlotte.

Professional Experience

At T-Mobile, Gautham contributes to the company's data-driven initiatives, leveraging his expertise in machine learning and data analysis to enhance operational efficiency and customer experience. His work involves implementing advanced analytical techniques and developing predictive models that support business decision-making processes.

Before joining T-Mobile, he gained valuable experience in the field of data science through internships and roles that involved significant analytical responsibilities. His contributions have been recognized in academic circles as well, with publications related to machine learning frameworks for sales forecasting.

Research Contributions

Gautham has authored research papers that explore innovative methodologies in machine learning, specifically focusing on XGBoost frameworks for product cannibalization scenarios. His research emphasizes practical applications of machine learning techniques in business contexts, showcasing his ability to bridge theoretical knowledge with real-world applications.

Overall, Gautham Bekal is a skilled data scientist whose work at T-Mobile reflects his commitment to advancing data intelligence within the organization.