Professional Overview
I am a results-driven professional with over 3 years of experience leading cross-functional initiatives in retail strategy, project management, and data analytics. Currently, I work as a Deputy Manager at Reliance Retail Limited, where I manage agile category projects across 2,200+ stores, driving significant topline growth through data-backed assortment planning, pricing strategies, and promotional execution. My role requires close collaboration with supply chain, finance, and operations teams, and I take pride in delivering measurable impact—whether it’s optimizing costs, expanding margins, or improving process efficiency. Over the years, I have led high-impact projects such as achieving a 40x sales boost for a new energy bar category and delivering a 20% improvement in supply chain responsiveness through streamlined assortment planning. I enjoy transforming raw data into actionable insights, using tools like Power BI, SQL, and advanced analytics frameworks to uncover inefficiencies, improve execution, and enable smarter decision-making. I hold an MBA in Operations and Project Management from Mumbai University and a B.Tech in Electronics Engineering. Alongside my academic background, I have pursued certifications in DevOps, Data Analytics, AI productivity tools, Agile methodologies, and advanced Power BI, which allow me to bridge the gap between technology and strategy. Fluent in English, Hindi, Malayalam, Marathi, and Spanish, I thrive in diverse, collaborative environments. My goal is to apply my skills in AI-driven roles, where I can leverage analytics, automation, and emerging technologies to drive scalable growth, enable intelligent decision-making, and contribute to shaping the future of data-powered business solutions.
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
data science & analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
