Leads the Collection and Risk Analytics team, providing support, guidance, and strategic data science expertise to ensure the successful delivery of decision intelligence to our customers.Regularly mentors a team of data scientists by sharing expertise and providing support to facilitate their professional development.Manages stakeholders by comprehensively understanding business problems and delivering optimal solutions.Manages vendors across multiple campaigns, ensuring seamless… Show more Leads the Collection and Risk Analytics team, providing support, guidance, and strategic data science expertise to ensure the successful delivery of decision intelligence to our customers.Regularly mentors a team of data scientists by sharing expertise and providing support to facilitate their professional development.Manages stakeholders by comprehensively understanding business problems and delivering optimal solutions.Manages vendors across multiple campaigns, ensuring seamless coordination and optimal performance.-Designing and implementing behavioral and application scorecards for various delinquency stages of a home loan portfolio, focusing on data collection, feature engineering, model development, deployment, monitoring, and compliance.-Develop a ML model using historical loan data to predict pre-delinquency, providing probabilistic outputs indicating the likelihood of upcoming bounce, which can help to build proactive risk management strategies.-Create an integrated solution using multiple propensity models to allocate delinquent portfolios for different collection treatments, such as re-banking, self-cure tendency, & addressing difficult cases, optimizing strategies for effective debt recovery.-Utilize a machine learning algorithm to develop a customer propensity model for predicting the likelihood of successful charges collection, leveraging features such as payment history, customer demographics, and past charge behaviors. -Design a bureau-based scorecard tailored to different customer segments, leveraging credit bureau data and customer characteristics to identify early warning signs of potential delinquency, facilitating the development of an EWS for risk management.-Effectively manage complex data by extracting and transforming internal and external information to construct customer patterns / features,enabling comprehensive analysis for informed decision-making.-Performance of scorecard models over time to ensure quality outputs. Show less

Lead projects across multiple channels, support business by proposing advanced data acquisition and prospect data modeling techniques to discover optimum Customer segment from the market.• Organize and drive successful completion of data insight initiatives through effective management of data scientist and effective collaboration with stakeholders.Manage and optimize processes for data intake, validation, mining as well as modeling, visualization and communication… Show more Lead projects across multiple channels, support business by proposing advanced data acquisition and prospect data modeling techniques to discover optimum Customer segment from the market.• Organize and drive successful completion of data insight initiatives through effective management of data scientist and effective collaboration with stakeholders.Manage and optimize processes for data intake, validation, mining as well as modeling, visualization and communication deliverables.• Develop and maintain data models, data acquisition systems, performance metrics that support business decisions.Plan and manage numerous processes, people and projects simultaneously.Optimize process of offer generation within credit risk matrixPA/PQ offers genration for various customers segments Show less

• Lead credit retail analytics project and oversees the activities of team. • Ensure that the business in its own health, finds growth levers, and identifies opportunities for optimization. • Lead the retail process through all efforts that drives business performance and potential by using existent andnew data source technique. • Drives performance of analytic solution developed models within team to understand impact on overall business results while keeping cost in check… Show more • Lead credit retail analytics project and oversees the activities of team. • Ensure that the business in its own health, finds growth levers, and identifies opportunities for optimization. • Lead the retail process through all efforts that drives business performance and potential by using existent andnew data source technique. • Drives performance of analytic solution developed models within team to understand impact on overall business results while keeping cost in check and ensure department remains within set expectation.• Accountable for driving day to day analytical approaches and exploring solution to business problem.PD Estimation model and ECL development.• Developed PD estimation models for existing CFD portfolio based on macro-economic features to understand the impact on current portfolio.• Develop ECL report based on estimated PD values for ECL reporting. Show less

Development of Reconciliation system: Brokerage and finance• As part of data science team, to support operation team by developing system that will reconcile trade line information from complex data based on optimum rules. The system build for various products of platform ETD and OTC.• The specific role is to build strategy and roll out successfully, which involves individual contribution as well as team management role.• As data science team manager, successfully driven… Show more Development of Reconciliation system: Brokerage and finance• As part of data science team, to support operation team by developing system that will reconcile trade line information from complex data based on optimum rules. The system build for various products of platform ETD and OTC.• The specific role is to build strategy and roll out successfully, which involves individual contribution as well as team management role.• As data science team manager, successfully driven reconciliation project development and roll out on time.• Regular communication with client as well as operation team regarding multiple levels of UAT, implementation planning and sign off process.• Help analytics team to understand requirement and build structure for development.• Empower and support team where ever required for project. Show less

I have gained enormous experience in gathering information and integrating it into the business systems, document business requirements, process improvement, quality assurance and providing technical support to the firm and its clients. I have analyzed Online Market user and their behavior is a key indicator of market competitiveness that is how well firm is doing against its competitors.