Chandreyee Kumar

Area of expertise: Digital Analytics, Channel Analytics, Customer Insights Analytics, Hyper personalization, Micro segmentation (Clustering Algorithms), Personal Financial Management, Transactional Data Analysis/Mining, Live Chat Data/complaints/feedback data analysis, Financial Health & Resilience, Spend Insights, Customer Vulnerability prediction. Designed, developed and implemented a data-driven hyper-personalization engine utilizing psycho-graphic segmentation, behavioral bias estimation, BJ Fogg Model, COMB Framework etc. and developed Experimental Design Framework for testing Nudge Effectiveness. Worked on different Spend Insight Triggers to nudge customers towards more resilient financial habits for UK customers. Understanding Customer Vulnerability and gambling behavior for UK customers. In-app journey re-design incorporating Behavioural Science for investment product designed for millennials, encouraging early investment behaviour for the Hong-Kong market. Created & Delivered extensive training on Behavioural Science across regions, published multiple White Papers(Internal) focusing on application of Behavioural Science in the Banking Industry. Designed symposium on Behavioural Science with external companies and academia for 800+ audiences. Won Green Hackathon for GreenScape - a gamified approach to nudge customers based on behavioural science by comparing them to peers powered by a green community prototype app, green score integrating transactional and digital data and a ML predictive model.

Improved the click-through-rate by 2X times for HSBC UK public website banners focusing on "Personal Finance Management" through contextual Nudges designed using consumer psychology and cognitive biases. Building a Financial Health Score of customers for UK. Created Nudge Engine, A/B testing, Recommendation engine and real-time performance tracking dashboard to improve financial health and well-being of customers. Mentored and trained analysts on natural language processing and chatbots.

Digital Adoption Analysis across UK - using ONSPD, ONS , Ofcom data - Micro-segmentation. Conversational Banking UK - involved in building the NLU for creating virtual assistant. Behaviour Scanner of customers - anomaly detection built using R. Digital Drop off analysis for HSBC UK website.

Ran, submitted, and reported on monthly branch performance and ranking across UK. Developed a recommendation engine to optimize the exposure of online banners using collaborative filtering techniques. Built an ATM Optimization Tool for HSBC UK.

Courses included: Consumer Behaviour Theory, Econometrics, International Trade, Health Economics.

Major: Economics, Minor: Statistics and Mathematics.