Priyesh Kumar Singh

• Configured the various Sprinklr products for different brands and industries. Collaborated with different teams to resolve issues with product and improve product adoption
• Worked on feature improvement of a Customer Care Agent Interface named Care Console and LiveChat bot application for Honda Japan
• Currently, working on configuration of flows for HDFC Bank for created universal WhatsApp chatbot
• Also, have worked initially in development of Automatic Call Distributer for manager Customer Care Service
• Integrated various social media channels for many MNCs
• Involved in development and design of Chatbot features which will incorporate more Artificial Intelligent making it close to human behaviour
• Used product usage data to understand customer pain points and recommend possible solutions to the product team Consultant, EXL

Consultant to Risk Loss Mitigation team of a major US bank, providing analytical solutions for prevention and minimization of fraudulent transactions across various portfolios. Received ACE Award for good performance in Q2’20
 Small Business
• Developed automated report on Loss Forecasting for Balance Generation campaigns used by finance team’s projections. Report efficient enough to use different smoothing techniques, remove outliers, and has space for manual adjustments of parameters
• Completed automation of exposure report on Credit Line Increase (Proactive and Reactive) for Policy Test on small business customers. Process optimized to reduce report creation time from hours to under a minute while requiring no manual adjustments
 Fraud Risk Loss Mitigation
• Determined the efficacy of using Daily Triggers from Credit Bureau to reduce fraud loss in the time of COVID-19 pandemic. Scrutinised important triggers which would save $ 18MM annually and reduce effective cost for the bank
• Developed MIS Dashboards using SAS for analysis of Instant Line Access granted to new customers. It helps to understand weekly on-partner and off-partner spends, utilization and performance trends of different products via various channels.
 EXL Internal Project
• Developed a Portfolio Optimization Tool in R and Python for optimum selection of scenarios from different credit card segments for revenue maximization. The dynamic model optimized over 2000 decision variables under a minute
• Developed a classifier that can detect credit card fraudulent transactions. Variety of machine learning algorithms such as Logistic Regression, Random Forest, XGBoost were used to discern fraudulent from non-fraudulent ones
 Decision Analytics Training
• Completed certified trainings on analytical tools and languages from Great Learning including Tableau, SQL, Python and SAS
• Completed certified trainings on credit-card life cycle, scope of analytics in customer acquisition, management, and fraud

• Worked on the Research Project to develop “Commercialization Strategy” for Robotics Projects under National Robotics Programme of A*STAR (Government Research Agency)

• Worked on the Research Project Meta-Analysis of “Supplier Relationship Management”. Reviewed over 60 Journals relating to SRM, Procurement and Supply Chains and presented paper on the topic, “Supplier Relationship Management and Selection Strategies – A Literature Review” and got it published in the International Conference of Industrial Engineering 2017