AI Augmented - Customer Experience Analyzer

• Developed an AI-augmented tool to improve customer experiences for banks

• Created crawling tools to extract consumer experiences from app marketplace, Google reviews, and experience listing website

• Used State of Art Natural Language Model GPT-3 to tag the emotions, banking lenses, intents, features, and consumer journeys

• Transformed the data for Tableau visuals to understand the correlation between customer experiences and banking lenses

Entity Resolution

• Developed a Graph-based entity resolution framework by leveraging the 3rd party data sources to create customer 360 profiles

• Performed thorough cleaning, standardization of addresses & names, lexicographic ordering of more than 700 million records

Forecast the daily cash demand in ATMs

• Forecasted demand for cash dispense of ATMs on day to day for the most important monetary bank in India

• Generated timeseries, events, and recency, frequency & monetary (RFM) based dispense variables to predict the demand

• Deployed AI techniques -RF, GBM, DNN, LSTM to create models for each cluster; Improved client forecast by 28 percent

Identify the bad customers

• Worked on the credit bureau data to analyze the performance of individuals in previous trade