• Leading the Parts Pricing Project which helped the organization in identifying price elasticity and right pricing of all the parts which are sold across Europe markets. This work has helped the organization to generate an additional one-time revenue of 11M euros and incremental revenue of ~3.75 M euros yearly.• Carried out the Gen-AI training for Data-Science team on how LLM works and usage of RAG for building Gen-AI apps.• Executed and oversaw the in-house setup of Gen-AI lab for the Data & AI department, so that we can build the POC using our internal data and then scale the idea for production.• Architecting Gen-AI solutions for different Use-cases.

* Working on building and analyzing Legionella Risk Prediction model for sensor data generated from Cooling Tower which will help business generate $14-M as sell through revenue

• Worked on vehicle routing optimization algorithm in order to find optimum routes for drop and pickup of employees using organization cab-facility (technique used was metahuristics ruin and recreate)• Performed battery analysis study for an electric vehicle to identify factors impacting the charging behavior of battery and generate recommendations for battery charging (technique used regression model) which helped in reducing overall compliant related to huge delay in charging time.• Created Demand forecasting model using time series technique for giant automobile company in order to help them in forecasting the demands of vehicle at dealer level across country, which in turn helped operations team to plan ahead for procuring parts.• Worked on building the Hidden Markov Model(HMM) for understanding underline Physician behavior when prescribing new prescription to patient so that marketing team of Pharma company can understand which Physician needs to be targeted for improving brand performance and sales.• Worked on building advance time series model and Bayesian trees model for helping the media planner in accurately predicting ad-impressions on Indian TV channels during prime time hours in order target maximum audiences.• Created Monte Carlo simulation model in predicting the project delivery date for software development project which in turn enable project managers to confidently share the project completion time line for software projects.

• Generated affinity scores for the products with other products across the categories and suggest product recommendations using item-item collaborative filtering technique for an outlet where product is currently not selling.• Generated Bands or clusters for products within each category for aggregated sales data.• Generated the decile wise report to identify the optimum deciles for recommending quantity of products at outlet.• Worked as team member in building Market Mix modeling using ordinary least square regression for retail client using R.• Improved Cross-Sell analytic model using ensemble model technique for retail client using R.• Builded Cross-Sell credit cards POC(proof of concept) model for Sales team using R and Azure Machine Learning for demonstrating modeling and end to end solution development capabilities.

• Analyzed business requirements to develop Technical and Functional specifications.• Developed solution architecture for auditing tool. • Interacted with client SMEs over optimal implementation methodology.• Responsible for design, development, support and maintenance of web and windows based applications.• Designed database for new applications, customized and created Stored Procedures, Triggers, Functions, Indexes, Tables, Views, SQL joins, Cursors as per business needs.• Implemented indexes to optimize performance of database.