Bhanu Pratap Shahi is a Data Scientist with experience in developing predictive models and recommendation systems. He has expertise in machine learning techniques, including XGBoost and Random Forest, and has applied these skills to projects like TED Talk views prediction and book recommendation. Currently, he works as a Data Analyst, utilizing Python, PostgreSQL, and ETL processes in an agile environment.
Experience
Data Analyst
Decimal Technologies
Successfully implemented a complete channel of IndusInd Bank. Direct engagement with Client to gather software requirements and preparation of Technical Documents like DSRS. Working as a part of scrum team, in an agile methodology with sprint cycles, daily stand ups and story implementation, and achieving the deliverables piece by piece and making rapid adjustments as needed. Working on the PMS portal of Decimal for model creation through rules and logic. Using DBeaver with PostgreSQL for managing the database used in PMS. Using Talend for creating Jobs and transfer of data from different servers. Data preprocessing to transform structured, unstructured source data into the target data. Performs technical troubleshooting, code debugging, and problem solving for custom built data warehousing solutions.
Education
University Institute of Technology, Burdwan
B.E.
Computer Science & Engg