About

Raghavendra Sivaji is an accomplished Data Analyst with over 6 years of experience in delivering analytics solutions for clients across diverse industries such as healthcare, fitness, and transportation. Currently working as a Data Analyst/Accounts Manager at Vecode, he is responsible for providing data-driven insights to clients and helping them make informed business decisions. Raghavendra's expertise lies in building predictive models using techniques such as Logistic Regression, Decision Tree, and Random Forest. He has worked on several projects, including developing a robust patient adherence model for the healthcare industry, which accounted for the risk of non-adherence per patient and predicted if the patient is likely to non-adhere. He has also worked on RailcarRx, an innovative Railcar Repair Shop Management System that enables repair shops to manage their entire railcar repair life cycle. Raghavendra has a Bachelor of Engineering degree in Electrical and Electronics Engineering from the National Institute of Technology Warangal. He also has a certificate program in Data Analytics and Optimization from INSOFE. His TechStack includes Random Forest, Python, SQL, and Software Engineering. Raghavendra is a dedicated professional who enjoys taking on new challenges and solving complex problems. He has excellent communication skills and is known for his ability to work collaboratively with clients and team members. With his extensive experience in data analytics and optimization, Raghavendra is well-equipped to help organizations harness the power of data and drive business growth.