Surendhar M
About Surendhar M
Surendhar M is a Data Research Engineer at ConverSight in Coimbatore, Tamil Nadu, India, where he has worked since 2022. He holds a Post Graduate degree in Data Science and Engineering from Great Learning and an MBA from Alagappa University, and he has a background in Civil Engineering.
Work at ConverSight
Surendhar M has been employed as a Data Research Engineer at ConverSight since 2022. In this role, he focuses on data integration and analysis, contributing to the company's data-driven decision-making processes. His work involves automating ETL pipelines and enhancing operational efficiency through algorithm development. Surendhar operates from Coimbatore, Tamil Nadu, India, where he applies his expertise in data science and engineering to support various projects.
Education and Expertise
Surendhar M holds a Post Graduate degree in Data Science and Engineering from Great Learning, which he completed in 2022. He also earned a Master of Business Administration (MBA) in Finance from Alagappa University, where he studied from 2021 to 2023. Prior to this, he obtained a Bachelor of Engineering in Civil Engineering from P.S.N.A. College of Engineering and Technology, Dindigul, from 2015 to 2019. His educational background equips him with a diverse skill set in data science, finance, and engineering.
Technical Skills and Projects
Surendhar M has demonstrated proficiency in various technical areas, including the automation of ETL pipelines from SAP BW to SQLDB using SAP HANA and sqlAlchemy. He implemented a delta approach for historical data loading, which enhances data accuracy and efficiency. Additionally, he has developed algorithms for recommending purchase orders and transfer orders, as well as automating yearly budgeting processes. His work also includes constructing efficient data retrieval code from AWS S3 buckets using the Polars package.
Healthcare Compliance and Data Solutions
In his role, Surendhar M has addressed compliance and coverage challenges within the healthcare sector. He implemented work order recommendations to ensure regulatory adherence, demonstrating his ability to apply data-driven solutions to complex industry challenges. His contributions in this area highlight his commitment to improving operational processes and ensuring compliance with industry standards.