Balaji Raghavendra Lolla
About Balaji Raghavendra Lolla
Balaji Raghavendra Lolla is a Data Scientist currently employed at Tapestry in Las Vegas, Nevada. He has a strong background in problem-solving and critical thinking, with extensive experience in data analysis and engineering roles across various companies.
Work at Tapestry
Balaji Raghavendra Lolla has been employed as a Data Scientist at Tapestry since 2023. He works on-site in Las Vegas, Nevada, United States. In this role, he applies his analytical skills to solve complex problems and develop strategic action plans.
Education and Expertise
Balaji holds a Master of Science (M.S.) in Industrial Engineering from Kansas State University, where he studied from 2009 to 2011. He also earned a Bachelor of Technology (B.Tech.) in Mechanical Engineering from Vellore Institute of Technology, completing his studies from 2003 to 2007. His expertise includes continuous process improvement, focusing on enhancing safety and efficiency in operations.
Professional Background
Balaji has a diverse professional background, having worked in various roles across multiple companies. Prior to Tapestry, he served as a Data Scientist at Petco from 2019 to 2023. His experience also includes positions at Johnson Controls as a Business Analyst II, Edison International as an EDI Analyst, and Caterpillar Inc. as a Project Engineer (Consultant). His career began at AVTEC Limited, where he worked as an Engineer.
Previous Positions and Responsibilities
Throughout his career, Balaji has held several key positions. He worked as a Business Analyst II at Johnson Controls from 2015 to 2019, focusing on Fulfillment Excellence Americas. His role as a Data Scientist at Petco spanned four years, and he also contributed as an EDI Analyst at AssuraMed and Edison International. His early career included engineering roles at AVTEC Limited and a project engineering position at Caterpillar Inc.
Skills and Specializations
Balaji possesses strong problem-solving and critical thinking skills, which enable him to evaluate issues effectively. His skill set includes data analysis, continuous process improvement, and a focus on enhancing operational safety and efficiency. He also has experience in warehousing and distribution, complementing his data analysis capabilities.