operational-analytics

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.

Professional Python project using Polars for continuous intelligence.

Anonymized BI and operational analytics case studies covering sales performance, business health, and daily operations reporting.

Professional Python project for detecting static anomalies

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.

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.

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.

Tableau de bord Power BI de contrôle de la qualité des données ERP — détection automatisée des anomalies, analyse des causes racines et suivi de l'exposition financière par fournisseur, acheteur et usine.

Professional Python project using Polars and rolling monitoring for continuous intelligence.

This project demonstrates how job posting data can be structured, analyzed, and modeled to support workforce development decision-making for a statewide manufacturing pipeline initiative.

Professional Python project Polars for drift detection and continuous intelligence.

Top Operational Analytics Platform 🌟 Star if you like it! 🌟

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.

End-to-end SQL and Tableau analytics project for monitoring operational productivity, AHT, TAT, SLA performance, and business trends.

End-to-end analytics and machine learning pipeline to optimize emergency department wait times. Includes synthetic data generation, cleaning, EDA, bottleneck analysis, SQL schema, and an interactive Streamlit dashboard.

BulaLab Status is a self-hostable status page that monitors your services (HTTP/HTTPS and SIP), tracks uptime and downtime, and notifies subscribers via email when incidents occur.

Operational analytics involves analyzing a company's end-to-end operations for identifying areas for improvement within the company. Key aspects of operational analytics is investing metric spikes which involves understanding and explaining sudden changes in the key metrics. Advanced SQL is used for this analysis.

End-to-end operational performance review for a confectionery company. Leveraged SQL, Python, and Looker Studio to analyze sales trends, customer behavior, SKU efficiency, and supply chain bottlenecks.

Professional Python project using Polars for continuous intelligence.

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