Vemula Varun

Vemula Varun possesses extensive experience in data analytics and engineering, having worked with notable companies such as Franklin Templeton and Accenture. In the role of Data Analyst at Franklin Templeton, significant automation in data extraction and advanced analytics techniques were applied to enhance fund recommendation accuracy. As a Data Engineer at Accenture, Vemula developed large-scale ETL pipelines and scalable data models while improving workflow reliability and testing frameworks. Currently, at Deloitte, Vemula is focusing on building efficient data pipelines and integrating enterprise data, along with implementing data quality frameworks. Concurrently, at American Family Insurance, Vemula leads initiatives in customer claims analysis and fraud detection, achieving notable improvements in fraud flagging accuracy through optimized SQL queries. Academic credentials include a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from Jawaharlal Nehru University and pursuing a Master's degree in Information Science and Technology at Missouri University of Science and Technology.