Skip to content
View haarshvardhana's full-sized avatar

Block or report haarshvardhana

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. group-ordering-feature-adoption-analysis group-ordering-feature-adoption-analysis Public

    Product Analytics case study analyzing 3.3M user events and 100K users to evaluate a Group Ordering feature. Performed funnel analysis, retention cohorts, user segmentation, adoption tracking, and …

    Python

  2. UK-Retail-Data-Pipeline-Revenue-Leakage-Anomaly-Detection UK-Retail-Data-Pipeline-Revenue-Leakage-Anomaly-Detection Public

    End-to-end SQL pipeline for Retail Audit & Anomaly Detection. Engineered Rolling Z-Score logic to identify revenue leakage across 541k+ transactions in BigQuery.

    1

  3. Customer-lifecycle-analytics Customer-lifecycle-analytics Public

    Built an interactive Tableau dashboard to analyze customer lifecycle, RFM segment transitions, and purchasing behavior across business units. The project delivers actionable insights, customer segm…

  4. B2B-Fulfillment-Performance-Analytics B2B-Fulfillment-Performance-Analytics Public

    A high-performance Power BI analytics suite for B2B supply chain optimization, tracking OTIF, LIFR, and delivery latency metrics for regional fulfillment hubs.

    1

  5. Target-Supply-Chain-Audit Target-Supply-Chain-Audit Public

    SQL & Power BI audit of 100,000 logistics records identifying a 12% cost variance.

  6. Zepto-Inventory-Sales-Analysis-with-SQL Zepto-Inventory-Sales-Analysis-with-SQL Public

    Analyzed Zepto’s q-commerce inventory using SQL to clean, explore, and extract business insights on pricing, stock, and revenue.