Data Scientist
CurrentData Scientist Retail teamCollaborating with a Consumer-Packaged Goods (CPG) team to design and implement machine learning driven solutions foranalyzing Panel Data and Point of Sale (POS) data to enhance business decision-making and market insights.• Developing Supervised ML algorithms like SVM, Random Forest, Decision tree etc to track and measure the KPIs like Profitability,Revenue generated, Market Share, Customer Lifetime Value (CLV), Basket Size etc and assured client with an easy model with bestperformance upto 95% which helped to know customer segmentation and churn analysis initiatives, while supporting the teamwith comprehensive final documentation and reporting.• Generating Cross validation and regularization methods to get improved F1 score and updated accuracies upto 90-95%.Data Scientist FP&A team• Provided ML based and visual based solutions to a Financial Planning & Analysis team.• Implemented Regression and classification models to understand about metrics like Pricing, market competitors, revenueetc.• Designed and implemented visualizations and dashboards using Power BI to enhance clarity on key performance indicators(KPIs) such as pricing and market trends, including real-time status updates.• Executed macros to streamline Excel data retrieval, reducing processing time by 75%.