May 2021 – Jul 2023 · 2 yrs 2 mos · Bengaluru, Karnataka, India

• Identified and tracked the key metrics impacting deliveries and operations SLAs and improved it by 20%.
• Identified Customer Churn using Logistic Regression and reduced the monthly churn from 30% to 18%
• Built Recommendation system for our app using Apriori algorithm increasing the cart volume by 7%.
• Automated various reports on daily basis giving visibility of Sale, Margin, Bounce, Operations and Demand.
• Created reports w.r.t Area, Retailers, Distributors, Categories, Routes and PIN and improved each segment.
• Created Visualization and Dashboards for our reports to identify all the patterns on daily, weekly & monthly.
• Built Inventory forecasting for high demand SKUs decreasing GMV loss by 2% due to inventory stock out.
• Created Purchase, Sale, Return, and Inventory data for Auditors and Investors for the Funding phase.

Jun 2017 – May 2021 · 3 yrs 11 mos

• Developed short/long-term Demand Planning for business development of new 50+ products across 15 locations.
• Improved forecasting accuracy by over 10% on 3000+ SKU's across various regions with Statistical Modelling.
• Identified excess inventory ($80K) and developed their sales plan reducing the total inventory costs by 6%.
• Improved 90-day forecast accuracy by 50% of various products by deep analysis and changing forecasting models.
• Published visualizations, dashboards and interactive reports to clients to see results on Power BI and Tableau.
• Created and maintained key performance metrics (KPI's) to visualize and enhance performance & sales quarterly.
• Forecasted and planned seasonal promotions of products which resulted in 100% in stock during high demand.
• Implemented and configured 8 new locations for manufacturing and distribution purpose reducing cost by 20%.
• Automated configurations of new plant setup including extracting master data from ECC reducing 10+ man hours.
• Mentored 4 new joiners across 12 KT sessions (24+ hours); Documented 10 standard procedures for future use.
• Brainstormed with clients to implement statistics-based forecasting models improving forecast accuracy by 20%.
• Bagged Accenture ACE award for the contribution in project of SAP migration to azure cloud for America region.