Jeevanandan I G
About Jeevanandan I G
Jeevanandan I G is a Senior Data Analyst based in Coimbatore, Tamil Nadu, India, with experience in optimizing data analysis workflows and collaborating with various departments to meet their data needs. He holds a Bachelor of Engineering in Mechanical Engineering from Anna University Chennai and has previously worked at Ugam Solutions Pvt. Ltd. and Responsive.
Work at Responsive
Jeevanandan I G currently holds the position of Senior Data Analyst at Responsive, a role he has occupied since 2023. He previously worked as a Data Analyst at the same company from 2020 to 2023. During his tenure, he collaborated with various departments to address their specific data needs, ensuring that data solutions were tailored effectively. He also identified and defined new process improvement opportunities to enhance data analysis workflows. His work has contributed to the optimization of data acquisition and maintenance processes.
Previous Experience at Ugam Solutions Pvt. Ltd.
Before joining Responsive, Jeevanandan I G worked at Ugam Solutions Pvt. Ltd. as an Associate Analyst from 2016 to 2019. In this role, he gained valuable experience in data analysis and contributed to various projects that required analytical skills. His time at Ugam Solutions helped him develop a strong foundation in data analytics, which he later applied in his subsequent roles.
Education and Expertise
Jeevanandan I G studied at Anna University Chennai, where he completed a Bachelor of Engineering (BE) in Mechanical Engineering from 2012 to 2016. His education provided him with a solid technical background, which he has applied in his career as a data analyst. His expertise includes developing and implementing data fields in data systems, which enhances data acquisition and maintenance processes.
Background
Jeevanandan I G is based in Coimbatore, Tamil Nadu, India. His career in data analysis began after completing his engineering degree. He has accumulated several years of experience in the field, working with different organizations to improve data workflows and solutions. His background in mechanical engineering contributes to his analytical approach in data analysis.