Key Projects:-Recommender Engine (Slot Machine Games): Built a recommendation engine to suggest relevant machines to players. Used a combination of Collaborative and content based recommender systemCustomer Segmentation Platform: Built a generic customer segmentation pipeline supporting wide options to preprocess , cluster and profile the dataCheater Identification (Farmville Games) : Built a cheater identifier Pipeline using Isolation trees and helped team to minimize False Positives and maximize the True PositivesLapser Model (Farmville Games): Developed Lapser Model to identify the players who are at the risk of lapsing out from the game. Experimented with multiple Algorithms like Neural Network, Random Forest. Achieved Precision of around 85% with the help of Random Forest Algorithm.Hybrid Recommender System (Draw Something Game) : Developed algorithm to recommend word to draw

Adidas, Japan: Customer SegmentationSegmentation to identify distinct customer groups and their characteristic features enabling custom promotional campaigns.Used clustering algorithms to identify segments of customers.Panera Bread, USA: Recommendation engine for Catering CustomersBuilt cross-sell Recommender system in big data environment for catering customers of Panera BreadUsed Item-Item based collaborative filtering as part of Recommender systemDeveloped a method to assess the quality of recommendationLand O' Lakes, USA: Sales prediction and Market Mix ModellingPredicted Dealer sales from shipment data. Market Mix Modelling on sales to calculate ROI from advertisement channels

Part of Data Science team leading machine learning and business analytics initiatives at Cleartrip Role involves designing and implementation of models using prediction, classification and customer segmentation algorithms

Member of R&D team working on vehicle assembly related analytical solutions Key Projects: Sentiment analysis of vehicle reviews using NLP Sentiment analysis of vehicle reviews posted on social media

Part of analytics team at Mahindra working on projects related to automobile safety and performanceKey project included building regression model to predict mileage of a vehicle in real world usage