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operational-analytics

Here are 143 public repositories matching this topic...

Solved end-to-end supply chain analytics problems using Power BI, SQL, and Python to analyze 63K+ orders, identify delivery delays, customer behavior, revenue trends, and operational inefficiencies.

  • Updated Aug 28, 2026
  • Jupyter Notebook

A comprehensive SQL repository with queries organized by industry sectors, including banking, healthcare, energy, manufacturing, and transportation. Designed to solve real-world problems with optimized and scalable solutions, this repository is ideal for learning and tackling industry-specific challenges.

  • Updated Jan 2, 2025

SQL + Power BI + Excel analytics system built on public CMS hospital data. Tracks 30-day readmission rates, HCAHPS patient satisfaction, and clinical quality indicators across 4,800+ U.S. hospitals — with benchmarking, trend analysis, and operational efficiency reporting across three dashboard pages.

  • Updated Jun 1, 2026
  • TSQL

Developed an end-to-end retail analytics and business intelligence workflow using SQL, Python, pandas, and Power BI to analyse sales performance, operational KPIs, profitability trends, and reporting reliability.

  • Updated May 18, 2026
  • Jupyter Notebook

Operational analytics system built to evaluate real-time faculty availability, resolve substitution conflicts across parallel class slots, and structure last-minute timetable adjustments. Deployed with controlled WhatsApp notification triggers to prevent broadcast misuse while maintaining audit-safe workflow visibility.

  • Updated Feb 14, 2026

End-to-end logistics delay analysis using PySpark, Spark ML, and Power BI, covering scalable data preparation, regression modeling, forecasting, and interactive dashboards.

  • Updated Jul 30, 2026
  • Jupyter Notebook

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