Total 15 years of experience in Data Science, BI and Application development projects in Insurance and Banking and Financial Services domainsExperience in delivering advance analytics solutions from beginning to end, including understanding the business requirements, aggregating & exploring data, building & validating predictive models, setting up the environments and deploying completed models using CRISP-DM methodologyCollaborated with multiple business stakeholders and cross-functional teams to understand the business needs and assist in project scoping and timeline to ensure successful on-time deliveryDelivered real-world complex projects in Insurance sector viz. Prospect to Customer prediction, Customer Grievance prediction, Welcome Call Optimization, enabling the client to increase the revenue growth, customer satisfaction scores and reduce overall expenseDemonstrated analytical expertise in translating analytical model findings to business insights and communicate the results effectively to non-technical business audience in coherent language and presentationsWell acquainted with Machine Learning techniques using IBM SPSS Modeler, Python, such as: Ensemble modeling by aggregating outcomes of several sub-models Handling Complex imbalance classification problems Supervised (Regression, Classification) and unsupervised (Clustering) models Feature Extraction, Engineering & Selection techniques Different visualization and model evaluation techniquesPlayed an Architect role and provided end to end solution ranging from creation of Architecture, Data model, Design, ETL framework and Visualization in delivering DWH & OLTP projectsInvolved in Solutioning, RFPs, POCs for BI and Data Science and played role in winning the dealsGood presentation and soft skills in interacting with key stakeholders and business heads