About

Chandra Sekhar is a highly skilled and passionate data science professional with over 10 years of experience in statistical and mathematical modeling. He has a keen interest in applying data mining techniques in healthcare, retail, and financial sectors. Currently, he works as a Data Engineer at State Street, where he leverages his expertise in data engineering, Python, SQL, Snowflake, and Azure to develop and maintain data pipelines, data warehousing, and data modeling. Chandra has a proven track record of working on diverse assignments, including model building for readmission analysis, customer churn forecasting, fraud analytics, customer lifetime value prediction, social media analytics, and sentiment analysis of customers. He has worked with companies like UnitedHealth and Karvy Analytics Limited, where he served in various roles such as Senior Business Analyst and Associate Data Scientist, respectively. At Karvy Analytics, he developed and implemented models for analytical solutions, designed the approach and methodology for identifying the apt algorithms for a particular business problem, carried out data pre-processing, feature engineering, and developed predictive and prescriptive models. Chandra holds an MBA in Marketing Management, Marketing Research, and Operations from IBS Bangalore Business School and a Bachelor of Engineering in Information Technology from Acharya Nagarjuna University. He has a strong tech stack, including ETL, web, big data, and research scientist skills. Chandra is an excellent team player with excellent communication and interpersonal skills. He is always eager to learn and explore new technologies and methodologies to solve complex business problems.