Vaibhav N.

1. Conceptualised consumer surplus model; using ML technique of unsupervised analytics skills such as SVM, NLP; on the reconciled consumer data source after gathering data from multiple resources to modify business strategy targeting increase in ARPU (Average Revenue Per User) by ~5% to ~7%. 2. Conducted customer centric analysis based on internal reviews, feedbacks and by scraping social media data to enhance customer experience and hyper-personalize future products / promotions.

1. Supported higher management and business to develop strategy for loan recovery from customers, by providing better insights of customers repay trend using descriptive analytics and future using predictive analytics, resulting in reduction of bounce rate by ~3%. 2. Prescriptive analytics for identifying new customer by scrapping social media data; resulted in improving value customers by ~1%. 3.The MIS leveraging Tableau and SSRS .