Jul 2025 – Present · 10 mos · Mumbai · On-site

• I'm currently building The AI Way - a learning and content platform designed to make AI practical, accessible, and actionable for Business Analysts and Decision-Makers.
• During this period, I’m focused on:
• ✅ Deep upskilling in Generative AI and applied business analytics
• ✅ Designing learning experiences to help professionals apply AI with confidence
• ✅ Creating content, workshops, and frameworks to bridge the gap between AI theory and real-world business impact
• This initiative is my way of contributing back to the analytics community - by simplifying the AI learning curve for those leading from the front lines of business decision-making.

Aug 2024 – Jun 2025 · 10 mos · Mumbai, Maharashtra, India · On-site

• As Director of Business Intelligence, I have led the transformation of data-driven decision-making by integrating advanced analytics, automation, and strategic insights into business operations. My work spans data infrastructure, customer insights, financial optimization, and competitive intelligence, ensuring every decision is backed by real-time data.
• Key Achievements:
• Built a Scalable Data Ecosystem: Integrated 30+ platforms into an in-house data warehouse on GCP, eliminating manual data collection and improving efficiency.
• Optimized Product Performance & Profitability: Conducted SKU-level product analysis, leading to ₹20L+ in quarterly savings through optimized spending and SKU rationalization.
• Enhanced Competitive Intelligence: Developed an Amazon & Flipkart scraping tool to track market share, competitor pricing, ratings, and reviews, uncovering key growth opportunities.
• Strengthened D2C Profitability & Efficiency: Automated customer retention tracking, built a D2C P&L and discount tracker, and implemented targeted RTO reduction strategies.
• Optimized Marketing & Sales Performance: Launched SKU-level sales tracking, improved influencer-driven ad spend efficiency, and refined Category P&L tracking for better margin optimization.
• Leveraged AI for Business Transformation: Developed an AI chatbot trained on Clickpost data to automate customer query handling and streamline operations.
• Through data strategy, automation, and analytics, I drive business growth, optimize spending, and enhance customer engagement.

Oct 2023 – Aug 2024 · 10 mos

• 1 . Implemented novel ranking logic for pitching Generics substitutes based on Customer Savings, Company Margin, and Manufacturer Trust, boosting conversion rates by 1.4%.
• 2. Led a 9-member team to enhance customer insights with end-to-end visibility of consumer touchpoint funnels and product feature adoption. Achieved 1.3% increase in Generics substitution and 0.8% rise in Private Label adoption, driving profitability on High Margin SKUs
• 3. Introduced a new Buyability metric to monitor the availability of highly searched SKUs, resulting in a 1.7% improvement in Order Fill Rate
• 4. Optimised EMR cluster resource utilisation, saving ~ $2077 per month

Aug 2021 – Sep 2023 · 2 yrs 1 mo

• 1. Spearheaded SKU's Fulfilment score development, optimising platform order acceptance based on fulfilment probabilities, reducing order deletion by 6%
• 2. Decreased excess inventory by blocking fresh purchases of batches exceeding sellable days, achieving company's lowest DOH of 37 while maintaining a 94%+ Order Fulfilment
• 3. Devised optimal logic for inter-warehouse SKU transfers, considering demand, warehouse capacity, and logistics cost
• 4. Proposed platform-level discounts for non-moving SKUs nearing expiry, leading to a ~2% decrease in liquidation
• 5. Enhanced vendor coverage and Fulfilment by 20% and 2%, respectively, through smarter external vendor inventory scanning for potential Just-in-Time (JIT) SKUs

Jun 2020 – Jul 2021 · 1 yr 1 mo

• 1. Pioneered Inventory Planning, introducing granular SKU-level demand forecasting, reducing DOH by 8 and cutting infrastructure costs by ~95Cr
• 2. Orchestrated collaboration with 17+ cross-functional category teams, doubling inventory buying efficacy from 0.59% to 1.1% YoY
• 3.Led team of 3 to develop algorithms for identifying Slow-Moving/Non-Moving SKUs, implementing de-risking policies, achieving 79% inventory aged <120 days
• 4. Achieved a monthly incremental GMV of ~30Cr at an RPC of ₹15 by identifying and targeting 6 exclusive customer cohorts with tailored offers

Oct 2018 – May 2020 · 1 yr 7 mos

• 1. Pioneered in building data pipelines and PowerBI dashboards that aided category stakeholders to reduce working capital by ~9% by live tracking of metrics like Instock%, DoH, Sell Through, Speed & SM/NM
• 2. Developed an in-house tool on R/Shiny to aid inventory placement as per demand, hence improving the regional asset utilization by ~5%

Oct 2016 – Oct 2018 · 2 yrs · Bengaluru Area, India

• 1. Improved working cost per incremental sale of ad placements by 20% for an insurance client by refining 8+ audience attributes and identifying optimal digital impression frequency thresholds
• 2. Developed a pioneering text mining algorithm to reduce false-positive tagging of critical insurance cases, resulting in a 2.7x increase in auditor efficiency
• 3. Reduced policy buying cycle for insurance agents by 18 days by correlating keyword browsing with customer churn/repeat, enabling targeted ad campaigns

Jul 2016 – Sep 2016 · 2 mos · Kolkata Area, India

• 1. Coordinated day-to-day operations of driver support and on-boarding with more than 400 walk-ins/day
• 2. Associated with key projects like Panic Button installation, Uber Club etc.
• 3. Oversaw the operations for a brand marketing campaign