Thrinadh Nagubadi Email & Phone Number

Customer Analytics – Clustering and segmentation of customers for Target marketing Predictive analytics – to identify who will live, who will die. Predicting the customer churn / customer acquisition / retention so that necessary action can be taken to have continued business.Performance analytics (branch / customer) – to identify the areas of improvement at branch level/ customer level.Target Marketing - Retention strategies to be implemented on existing valuable customers, and “to be valuable” customers based on the CLV.Customer Life time/Customer Life time value predictions – to identify the customer groups who are more valuable for customer acquisition/Retention. Predicting the cost the company can render on the customer acquisition/maintenance.Personalized stock recommendation engine – to recommend Investors with the stocks they would prefer trading based on their behaviour and the stocks holding in their portfolio. By clustering the customers based on the behavioural patterns, Investors with similar behaviour are grouped. Using Collaborative filtering, Investors similar are identified, and stocks are recommended as per the nearest Investors Portfolio. Overall 3+ years of experience in big data analytic, Business Intelligence Cognos and machine learning system. Conceive and design end to end data mining solution. Expert in data crawling, text retrieval, machine learning, visualization and developing data product. Ability to play with data, to reveal relationships, to discover patterns and making insights. Quickly apply new programming language and techniques.