Vishwajeet Prashar

About Vishwajeet Prashar

As a Senior Executive in the Central Demand Planning & Data Science function at Flipkart Minutes, I orchestrate the forecasting architecture that powers our pan-India Quick Commerce network. Operating at the intersection of supply chain strategy and advanced analytics, I lead the design and governance of predictive systems that drive inventory availability and operational readiness. ​My mandate involves transforming traditional planning into a data-driven science. I successfully architected the transition from legacy manual processes to automated, machine learning-driven workflows, ensuring real-time responsiveness for high-velocity SKUs. ​Core Strategic Competencies:​Centralized Demand Modeling: Engineering sophisticated Orders Per Day (OPD) and granular phasing algorithms (Store/Hourly) using Python and R to predict demand volatility across the entire Minutes network. ​Data Science & Forecasting: Utilizing advanced time-series analysis (SES, DES, TES) and statistical modeling to minimize forecast error (MAPE) and optimize labor and inventory allocation. ​Pipeline Architecture & Governance: Owning the end-to-end automation of demand pipelines and creating rigorous attainment tracking frameworks to ensure 100% data integrity and model governance. ​Network Strategy: Partnering with Supply Planning and Inventory leadership to translate complex data signals into actionable replenishment strategies that reduce inventory variance and maximize availability.

Experience

1. Senior Executive - Demand Planning

   Flipkart

   Jan 2026 — Present · Bengaluru, IN

   Data Scientist leading end-to-end demand forecasting and planning for Flipkart Minutes’ quick commerce network across pan-India dark stores. Owning and building statistical and machine learning–based demand models at hourly, daily, store, city, and category levels to improve forecast accuracy, availability, and replenishment decisions.Driving forecast governance using MAPE, WAPE, bias, and gap analysis, and partnering with Supply Planning, Inventory, Category, and Operations teams to convert demand signals into scalable, data-driven execution. Developing automated forecasting pipelines and dashboards using Python, SQL, and R.

Education

• Deepika English Medium School - India

  10th

• Gurunanak public school

  12, Computer Science

• Amrapali University Haldwani

  BCA, Computer/Information Technology Administration and Management