Worked as a Product Analyst in Trust and Safety TeamFraud detection for India & International businesses1) Built Machine Learning classification model to detect fraud rides which improved precision over current detection methods, increased recall by leveraging additional features2) Assisted Product Managers in decision making for product changes with the help of Exploratory Data Analysis. Ex- Minimum Cab Allotment distance, Offline - Ola Money Peer to Peer transfer 3) Created fraud detection rules using Exploratory Data Analysis and Outlier analysis for categories (Auto, Rental, point-to-point city-taxi rides ) and for International Business4) Automation of fraud detection process for actions on fraud drivers like warnings and temporary off-roads and incentive penalization; results in reduction in burn by 40%5) Built multiple reporting and tracking processes to track KPI's of fraud using Microstrategy Dashboarding tool

1) New product sales forecasting - Built Sales Forecasting Model for Smartphones using Supervised learning by combining Machine Learning and Time Series models to assist Supply chain team of one of the leading Smart Phone Manufactures2) Automation of Model maintenance - Model alteration once the product gets launched by leveraging current sales data, input feature changes suggested by stakeholders that affect products demand. This process helps in providing good accuracy for the models. Automated the weekly model changes that were needed for model maintenance.3) Designed and created Dashboard using Qlik Sense to assist client to monitor Shrinkage losses and Promotion effectiveness across stores, products of a Supermarket Chain in the Midwest America