Kuldeep Singh Rathore

I’m a Business Analyst with 4.5+ years in Retail & E-commerce analytics, specializing in ETL, quantitative analysis, and stakeholder reporting. In my current Impact Analytics role, I led Newness Prioritization to allocate inventory chronologically by floorset date, helping improve store sell-through (projected ~5%). I also built an AI/ML-powered agentic tool to monitor ingestion and auto-allocations, saving 10+ hours per week for the team.

I focus on turning messy operational data into reliable decisions. I minimized stockouts by 10% using King’s formula for safety stock (demand variability and lead time included) and improved store-level inventory accuracy by 12% through Core vs. Fashion segmentation with Pareto analysis. I also owned PLR & Supersession Upload end-to-end—sourcing data, setting up ingestion, and deploying—reducing manual intervention from 1 day to 30 minutes, and streamlined ingestion time by 1 hour using delta logic with BigQuery.

Previously, I delivered analytics that teams could act on immediately. At Horizontal, I built partitioned data pipelines for Attributable Coverage and ran root-cause analysis on 5% low-coverage SKUs, then created an Attributable Demand Dashboard that projected a 6% CTR uplift through content repositioning. At Porter, I designed a full-funnel Partner Lifecycle dashboard (saving 87.5% weekly tracking time), improved partner retention by 8%, reduced cancellation rates by 12%, and built automated KPI dashboards via Google Sheets API (93.75% reduction in manual effort), including a Jupyter-based allocation model that cut operational costs by 63%.