Loans Price optimization: Optimal Loans Pricing Strategy to get best trade off between Takeup volume and profit. Score cutoff optimization: Automated the process of finding optimal score cutoff under risk based pricing structure with the help of optimization model whcih help maximize total profit along with meeting the regulatory and business constraints.Deposit Price Optimization: Developed deposit price optimization tool and implemented in multiple markets

Deposit Pricing Optimization: Developed deposit price tool as a generic solution. Worked end to end on all modules involved in this solution. Flow of fund, Modeling and Optimization tool.

Deposit Pricing Optimization for Retail Banks. A combination of Predictive Modeling and non linear mathematical optimization to suggest Retail banks the best possible interest rates for different segments of banks.

Worked in TCS, Research and DevelopmentFormulation and Demonstration of complex optimization modelsTwo white papers published on tcs.com1. Optimizing Pallet Stacking and Vehicle Routing in Logisticshttp://www.tcs.com/SiteCollectionDocuments/White-Papers/BPS-pallet-stacking-vehicle-routing-logistics-1016-1.pdf2. How to Optimize Web Space Utilization to Increase Advertisement Revenuehttp://www.tcs.com/SiteCollectionDocuments/White-Papers/BPS-optimize-web-space-advertisement-revenues-0916-1.pdf

• Allocation of TV Advertisements to Programs and then sequencing of Advertisements within break such that total Revenue is maximized.• Proposed and implemented heuristics for sequencing of Ads with in breaks considering constraints like brand limit and maintaining the parabolic structure of Ads in break.• Baseline analysis for a major TV network in India showing on average 2.5% of Revenue difference on using Ad revenue optimization tool.

• Proposed new algorithms based on research work and testing for solving variety of Vehicle routing problems.• Developed the framework of algorithm and test cases to be tested in tools such as excel and then comparing its performance using the Optimization models output.• Data processing, Analysis and comparison of Actual and planned routes along with KPIs using R.• Successfully completed research work on vehicle routing problem with multiple time windows for closed loop.

Project Title: Logistics Network Optimization for India’s leading Cement Company. Project Description:• Objective: To maximize the total contribution by giving optimal production and allocation planning of cement based on forecasted demand and other cost as input given by the client on monthly basis.• Model formulation: A multi objective Mixed Integer programming mathematical model with profit maximization as objective formulated to address the problem. • Output: Month wise complete route (Plant via warehouse to market or Plant direct to market) with the amount of allocation in the route. Project Title: Facility Installation Problem for India’s leading Cement Company.Project Description• Objective: To install new warehouses and/or close some of the existing ones with profit maximization as the objective function for the supply chain problem. • Model Formulation: The mathematical model based on Mixed Integer programming formulated to address the problem. Initially all the demand points and existing warehouse are considered as a candidate for the warehouse and all possible links with transportation cost taken in the model. The model installs the set of certain warehouses so that the total profit is maximized.Project Title: Vehicle Routing for India’s leading spare parts manufacturing company.Project Description• Objective To provide daily dispatch planning from the warehouse that will minimize the total cost by the formation of the routes based on minimum total distance and maximum truck utilization.• Output: The model assigns vehicles to serve all cities having demand on particular day by minimizing total distance and maximizing truck utilization. The tool provides dispatch planning on daily basis based on demand and fixed routes based on frequency for long term planning, which lead to cost savings and improvement in the serviceability towards high demand customers.