-Ketto is a crowdfunding platform. Part of the social impact plan (SIP) product, where the goal was to on-board subscribers and persuade them to donate monthly to medical/social causes.-Developed and implemented a logistic regression model designed to predict the probability of user conversion for existing system users.-Designed and implemented robust data pipelines, optimizing data flow, and streamlining reporting processes. Conducted root cause analysis for product-related issues.

-Part of Media.net’s Ad exchange platform (MAX), used by advertisers/advertising agencies to buy ad inventory. I have leveraged this opportunity to immerse in this data and drive insights influencing business and product development.-My timely identification of business opportunities helped increase the advertisers’ daily budget spend on the platform keeping cost per acquisition (CPA) in check.-Identification of KPIs and process designing to create daily reports measuring business health, advertiser performance, and forecasting reports.-Part of the Machine learning team for a year, which is responsible for building and deploying full-scale, low latency probabilistic models.-Helped team with error analysis, model evaluation, and data analysis-related tasks. Specifically involved in improving ad click-through rate (CTR) and conversion rate (CVR) prediction engine.

-Part of the customer segmentation project for Club Mahindra.-Involved in the collection and analysis of social network data from 200,000 customers, conducted datacleaning, and utilized PCA to reduce dimensions.-Applied K means clustering algorithm, depending on the Elbow curve we identified 6 different segments of customers.