Arunkumar Selvaganesan
About Arunkumar Selvaganesan
Arunkumar Selvaganesan is a Senior Finance Manager at GAIN Credit in Chennai, Tamil Nadu, India, with over a decade of experience in finance and analytics. He has held various managerial positions at Global Analytics and has a background in Mechatronics, Robotics, and Automation Engineering.
Work at GAIN Credit
Arunkumar Selvaganesan has been employed at GAIN Credit as a Senior Finance Manager since 2021. In this role, he is responsible for overseeing financial operations and ensuring compliance with financial regulations. His tenure at GAIN Credit has spanned three years, during which he has contributed to the company's financial management strategies in Chennai, Tamil Nadu, India.
Previous Experience in Finance and Analytics
Before joining GAIN Credit, Arunkumar held various positions at Global Analytics. He served as Manager - Portfolio Management and Reports from 2011 to 2012, and later as Manager - Finance from 2014, accumulating ten years of experience in this role. Additionally, he worked as Manager - Data Management and Reports from 2013 to 2014, and as Team Leader - Portfolio Management and Reports from 2009 to 2010. His experience also includes a position as Associate Manager - Analytics at eBay for eight months in 2012 and as a Programmer Analyst at Cognizant Technology Solutions from 2005 to 2007.
Education and Expertise
Arunkumar holds a Bachelor of Engineering (B.E.) degree in Mechatronics, Robotics, and Automation Engineering from Kongu Engineering College, which he completed from 2001 to 2005. His educational background supports his expertise in financial reporting, accounting, and book closure processes. He is experienced in investor and venture capital due diligence processes and has a strong understanding of maintaining bad debt reserves.
Technical Skills and Knowledge
Arunkumar possesses strong technical skills in MySQL, Python, Java/J2EE, Excel, and PowerPoint. He has a deep understanding of data warehousing systems and is knowledgeable about the design characteristics of both Kimball and Non-Kimball architectures. These skills enhance his ability to manage financial data and support analytical processes effectively.