Niranjan Devarajan

Collaborated with retail and hospitality businesses to collect, clean, and analyze point-of-sale and seasonal sales data, uncovering patterns that improved stock planning accuracy by 25%. Performed seasonal trend analysis using Python and Power BI to identify best-selling product categories and optimize inventory decisions. Built and deployed a recommender system for till-based POS terminals that suggested upsell and cross-sell items, increasing average basket value by 12%. Provided actionable insights to business owners through visual dashboards and written summaries, enabling more data-informed marketing and pricing decisions.

Led business process analysis and issue resolution for a B2B commerce platform, identifying root causes that reduced recurring technical incidents by 55%. Conducted data audits and reporting across transaction logs (over ten million records) using SQL and Python, uncovering discrepancies that restored approximately 13 million INR in loyalty program credits. Collaborated with cross-functional teams to gather requirements, prioritize deliverables, and implement process enhancements that improved sprint velocity by 18%. Designed KPI dashboards and operational reports in Power BI and Kibana, improving management visibility into system performance and customer engagement trends. Partnered with stakeholders to translate complex technical issues into actionable business insights, cutting resolution turnaround times by 35%. Supported API testing and QA workflows that reduced deployment-related downtime by 20%. Key Achievement: Delivered a data-driven optimization strategy for client operations