Professional Python project using Polars for continuous intelligence.
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Updated
May 19, 2026 - Python
Professional Python project using Polars for continuous intelligence.
End-to-end supply chain analytics platform built using Power BI, SQL, and Python to analyze 63K+ orders. Delivered insights on delivery performance, customer behavior, revenue trends, and operational efficiency through interactive dashboards.
Professional Python project for detecting static anomalies
Professional Python project using Polars and rolling monitoring for continuous intelligence.
End-to-end SQL and Tableau analytics project for monitoring operational productivity, AHT, TAT, SLA performance, and business trends.
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.
Anonymized BI and operational analytics case studies covering sales performance, business health, and daily operations reporting.
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.
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 for continuous intelligence.
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.
Decision-ready LLMOps telemetry dashboard for reliability, latency, cost, routing-policy review, triage thresholds, drift signals, and evidence exports.
Professional Python project using Polars for continuous intelligence.
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.
Professional Python project for continuous intelligence
Professional Python project using signal design for continuous intelligence.
Source-available AI business intelligence platform for self-hosted dashboards, natural language SQL, and operational analytics.
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