On my Customer Segmentation & Revenue Analytics project, I analyzed 3,900 customer purchases to identify spending patterns, product preferences, and customer segments. I developed recommendations for loyalty, subscriptions, discounts, and targeted marketing, and automated reporting to reduce manual reporting time by 70%.
For Procurement Performance Analytics, I examined supplier delivery timeliness, procurement cost, order volume, and fulfillment efficiency. Supplier scorecards helped identify high-performing vendors and cost-saving opportunities, while indexing and query restructuring reduced SQL execution time by 50%.
In my GenAI Powered Data Analytics Job Simulation with Tata | Forage, I conducted exploratory data analysis and risk profiling to identify customer patterns and delinquency drivers. I translated the findings into collections strategy recommendations and proposed a responsible AI-driven approach.
As a Salesforce Developer Trainee at Cloud Analogy, I designed Salesforce data models and workflows, translating business requirements into functional solutions with Salesforce Admins and Developers. My analytics toolkit includes SQL, Python, Power BI, and Excel, alongside experience with Generative AI and automation.
