Santhosh Kumar
About Santhosh Kumar
Santhosh Kumar is a Senior Data Analyst at LatentView Analytics with expertise in machine learning and data warehousing. He has a background in Mechanical Engineering and has worked in various roles within the Information Technology and Internet industries.
Work at LatentView Analytics
Santhosh Kumar has been employed at LatentView Analytics since 2019, serving as a Senior Data Analyst. In this role, he applies his expertise in machine learning and data warehousing to analyze complex data sets and provide actionable insights. His work contributes to the company's data-driven decision-making processes and enhances the overall analytical capabilities of the organization.
Education and Expertise
Santhosh Kumar completed a Bachelor's degree in Mechanical Engineering from Easwari Engineering College, where he studied from 2012 to 2016. He furthered his education by completing a Post Graduate Program in Data Science and Engineering (PGP DSE) at the Great Lakes Institute of Management in 2018. His educational background, combined with his multidisciplinary experience in Information Technology Services and the Internet industry, has equipped him with a strong foundation in data analysis and machine learning.
Professional Background
Santhosh Kumar began his career as an Associate Software Engineer at UST Global in 2017, where he worked for 10 months. He then transitioned to Amazon, where he held two positions: first as a Data Associate from 2016 to 2017 for 7 months, and later as a Device Associate from 2018 to 2019 for 10 months. His diverse roles in these organizations have provided him with valuable experience in both software engineering and data management.
Career Progression
Santhosh Kumar's career has progressed through various roles in technology and data analysis. After his tenure at UST Global, he gained experience at Amazon, where he contributed to data operations and device management. His transition to LatentView Analytics as a Senior Data Analyst marks a significant step in his career, allowing him to leverage his skills in machine learning and data warehousing in a more focused analytical role.