operational-analytics

End-to-end supply chain analytics and machine learning pipeline diagnosing a 54.7% late-delivery rate across 172K+ orders and predicting fulfillment SLA breaches using Random Forest & SMOTE.

Professional Python project using Polars for continuous intelligence.

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

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.

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.

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.

Professional Python project for detecting static anomalies

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! 🌟

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

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.

Azure real-time Data Engineering pipeline using Event Hubs and KQL, with stream reliability, state reconstruction, Gold serving, and operational observability.

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.

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.

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.

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.