Pranjal Jindal

About Pranjal Jindal

Developed DRIFT (Dropship Risk Inventory Forecasting Tool), a predictive ML model…

Experience

1. Business Analyst

   Amazon

   Apr 2023 — Present

   Developed DRIFT (Dropship Risk Inventory Forecasting Tool), a predictive MLmodel using Random Forest that classifies ~20K ASINs bi-weekly intohigh/medium/low inventory risk. This initiative improved inventory accuracy and ledto a 28% enhancement in availability through timely vendor outreach.• Led demand spike forecasting and purchase order (PO) optimization usingadvanced metrics like forecast velocity, sales velocity, and lead times. Improved FastTrack (FT) retention for high-risk ASINs by enabling proactive PO planning.• Spearheaded an initiative to improve Glance View Speed (GVS) delivery from 7days to 2 days, building a robust 20+ layer SQL funnel and automating data pipelinesusing AWS tools (S3, Lambda, SageMaker, ECR). This enabled faster visibility for100K–200K ASINs weekly.• Drove vendor engagement across the United States, Japan, and key European countriesmarkets, resulting in increased vendor retention and on-time PO confirmation rates.• Embedded data-driven decision-making into scorecard and dashboard development,Influencing cross-functional stakeholders.• Optimised data pipelines using Cradle profiles, Redshift, and Andes to enhancequery performance and ensure scalable analytics delivery.

Education

• Goa Institute of Management (GIM)

  Master of Business Administration - MBA, PGDM - Big Data Analytics

  2023

• Sir M Visvesvaraya Institute Of Technology

  Bachelor of Engineering - BE, Information Technology

  2014 — 2018