• Responsible for developing processes to track and monitor sales, designing efficient reporting tools to support business decision making, an end-to-end client engagement and providing helpful insights to the Inside Sales team.• Developed a Submission Prioritization and Triage process for a UK P&C Insurance Client.An automated rule-based model was created by developing a set of test cases and using management input to prioritize the submissions that have the highest probability of being… Show more • Responsible for developing processes to track and monitor sales, designing efficient reporting tools to support business decision making, an end-to-end client engagement and providing helpful insights to the Inside Sales team.• Developed a Submission Prioritization and Triage process for a UK P&C Insurance Client.An automated rule-based model was created by developing a set of test cases and using management input to prioritize the submissions that have the highest probability of being written and retained while also being profitable.This improved triage process not only saved a lot of the time spent by underwriting team members on prioritizing and assigning submissions but also allowed management to make trade-offs in ways that were unavailable before.• Daily interaction with Stakeholders to understand business requirements and ensure timely delivery.• Responsible for mentoring the new members of the team in both business domain and data handling.• Awarded Employee of the quarter award in Q4 2017 for developing a predictive model which predicted the propensity of a customer to churn for a Fortune 500 US freight client. Show less

As a Business Analyst, he has worked extensively on predictive modeling, descriptive analytics, dashboard creation, and automation. Developed Logistic Regression based Customer Churn model to identify the levels of churn and predict customer churn proactively,Used various statistical parameters like LIFT, ROC, KS Statistic, AUC, GINI, Concordance to determine the model’s predictive power and robustness.Possesses experience in handling large datasets, high dimensional datasets (250+… Show more As a Business Analyst, he has worked extensively on predictive modeling, descriptive analytics, dashboard creation, and automation. Developed Logistic Regression based Customer Churn model to identify the levels of churn and predict customer churn proactively,Used various statistical parameters like LIFT, ROC, KS Statistic, AUC, GINI, Concordance to determine the model’s predictive power and robustness.Possesses experience in handling large datasets, high dimensional datasets (250+ Variables). Used rolling window logic to create effective sampling across different time instances.Implemented feature engineering and feature reduction techniques like Principal Component Analysis(PCA), Variable Clustering techniques, Information Value(IV), Weight of Evidence(WOE) in SAS.Designed Scorecards to help track various leading and lagging KPIs for the agents. Extracted data from different data sources and created logic for data consolidation, transformation, and visualization.Has written VBA macros to ease data extraction from various data sources such as CRM, SAP Business Objects, Mainframe.Awarded the Rising star performer award in Q2 2016 for exemplary performance. Show less