Subhashish Nanda

Working for consumer credit risk Acquisition team where my role involves data analysis, Predictive modeling in to Application Score card development, behavioral scorecard development. Machine learning model development using SAS and Python. Producing MIS for account management performances. Expertise in Fraud analytics where implemented advanced Machine learning Algorithm such as Decision tree, Random forest and Gradient boosting to get better accuracy score

Worked on Portfolio offer engine process which was to analyze in providing offers to credit card holding customers or suppressing the offers. Worked on reporting delinquent customer and their behavior past 36 months. Supported on internal risk score generation of customer which are used by business for credit line increase or decrease. Develop complex SAS logic for effective reporting and query optimization.

Worked for one of the biggest PLCC (Private Level Credit Card) lending banking organization in the US where I was working for Operation analytics department. Banking Operational process such IVR , CQMT data(Cal Quality Monitoring Technology), Banking call center service agents performance data, Customer email response data, Let fee waivers reporting, Customer speech analytics, eChat , UDAAP , EHD, data analysis, Banking internet service and Mobile service reporting, Remediation analytics

Worked on Clinical Data analysis and reporting. I have done several analysis on Patient visit data to hospitals for clinical testing of the Drugs and progress of drugs on the patients. Created several reports on patient data and have generated Safety Tables as per Statistical Analysis Plan

Bioinformatics, Biotechnology, C, OOPS, Data Structure, RDBMS