Abhishek Sv
About Abhishek Sv
Abhishek Sv is a Software Development Engineer 2 (SDE2) at KPI Partners, with a background in Electrical and Electronics Engineering. He has extensive experience in retail, supply chain management, and customer analytics, and has worked on implementing machine learning models and solving complex business problems.
Current Role at KPI Partners
Abhishek Sv currently holds the position of SDE2 at KPI Partners, where he has been employed since 2021. In this role, he is involved in software development and engineering tasks, contributing to various projects that require technical expertise and problem-solving skills. His responsibilities include utilizing programming languages and tools to address complex business challenges.
Previous Experience at Capgemini
Abhishek Sv worked at Capgemini as an Associate Consultant from 2015 to 2021 in Bengaluru, India. During his six years at the company, he gained experience in consulting roles, focusing on domains such as retail, supply chain management, and customer analytics. His work involved addressing complex business problems, which included reducing delivery lead time and customer segmentation.
Education and Academic Background
Abhishek Sv earned a Bachelor’s Degree in Electrical and Electronics Engineering from BMSIT, where he studied from 2011 to 2015. Prior to this, he completed his high school education at Sri Devaraj Urs High School from 2006 to 2009. His academic background provided a foundation for his technical skills and professional development.
Technical Skills and Expertise
Abhishek Sv possesses expertise in implementing machine learning models, including regression, clustering, and decision trees. He has experience using ELT tools such as ODI 12C and Matillion for data transformation. Additionally, he utilizes SQL, Python, and Spark for data analysis, which enables him to solve various business challenges effectively.
Projects and Problem-Solving Experience
Throughout his career, Abhishek Sv has worked on complex business problems that include reducing delivery lead time, conducting customer segmentation, and performing sentiment analysis. His experience in these areas highlights his ability to apply technical knowledge to real-world scenarios, contributing to improved business outcomes.