Kumar Pratibadh

Worked closely in a scrum team consisting of data scientists, product efficiency engineers and product owner to develop a Stress Testing tool Simulation Engine using advanced statistical data analysis and machine learning tools. Developed R Shiny web applications for multiple modules of Simulation Engine. Devised an efficient Stored procedure for data transformation of multiple risk factors and balance sheet metrics of Maybank for ETL layer of Simulation Engine. Formulated a functionality to perform data cleaning and processing operations dynamically using R and SQL. Engaged in developing a functionality to perform Monte-Carlo Simulations on chosen risk factor and obtain it’s impact on target variables(Bank’s asset quality & profitability metrics). Enhanced the multiple user performance of application by integrating async programming capabilities in Simulation Engine. Prepared simple to complex SQL queries for data fetching & data transformation involving multiple joins & correlated subqueries. Created a leaflet based Geospatial web application to showcase location based data. Coordinated with Product Management to wireframe engaging user interfaces. Provided Implementation and production support with continous enhancements and quick bug fixes.

Worked on determining accident susceptibility at Intersections using surrogate safety measures model and simulated environment in vissim.

Worked closely with Project Management team of C&W team for Bagmane Goldstone project on the ongoing construction activities.