Beenapreet Kaur is an accomplished Data Scientist with over five years of industry experience solving complex business problems in the supply chain, retail, and finance domains. She has developed an interest in MLOps, which involves deploying models to ensure efficient monitoring and maintenance. Kaur pursued a Master's degree in Computational Analytics, Data Science at Georgia Institute of Technology and an undergraduate degree in Chemical Engineering at Birla Institute of Technology and Science, Pilani.

Kaur has worked with top-tier companies including Amazon and Noodle.ai, where she developed statistical models and machine learning algorithms to provide valuable insights and solutions. Additionally, Kaur has worked as a Graduate Teaching Assistant, Data Science Intern, and Graduate Research Assistant at Georgia Institute of Technology, where she expanded her knowledge of data science and refined her analytical skills.

As a seasoned Data Scientist, Kaur's expertise lies in using statistical and machine learning models to solve complex business problems, which has helped her develop a reputation for excellence in the field. She is passionate about leveraging technology to improve supply chain operations and enhance customer experience.