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industrial-data-projects/README.md

📊 Industrial Data Projects

Industrial Engineer bridging the gap between the factory floor and the data stack.

I develop Python-based solutions that help industrial companies reduce reporting time, control operational costs, improve data reliability, and optimize performance. By automating reporting workflows and transforming operational data into actionable KPIs, I support productivity gains, better resource utilization, and data-driven decision-making.

🔧 What I Build

Domain Tools & Technologies
Project Controls & Cost Performance SAP · Cost Tracking · Budget Monitoring · EVM · Variance Analysis · Forecasting · Cash Flow Management · Accounts Receivable (AR)
Data Processing & Automation Python · Pandas · NumPy · Data Cleaning · Automated Reporting
Business Intelligence & Visualization Power BI · Plotly · Matplotlib · Seaborn · Interactive Dashboards
Reporting Automation Jupyter Notebook · nbconvert · HTML · PDF · Excel
Industrial Engineering & BI Supply Chain · Maintenance · Quality · Production · Operational KPIs · Data-Driven Decision-Making
Version Control Git · GitHub

📂 Featured Projects

📦 Supply Chain & Inventory Analysis

Inventory and stock analysis dashboard built with Python, Pandas, Plotly, and Jupyter. Transforms raw inventory data from Excel and operational sources into interactive KPI dashboards and automated HTML reports.

Key Focus: Inventory Performance · Stock Analysis · KPI Monitoring · Reporting Automation

🏭 Weekly Maintenance Report

Automates weekly SAP PM maintenance reporting with Python and Jupyter, reducing a reporting workflow from 2.5 hours of manual Excel work to approximately 2 minutes. Generates bilingual (FR/EN) HTML reports, PDFs, and Excel files with maintenance KPIs and performance indicators.

Key Focus: SAP PM · Maintenance Analytics · MTTR · Reporting Efficiency · Data Reliability

📊 Focus Areas

Industrial Performance · Operational Cost Optimization · Reporting Automation
Supply Chain · Inventory Management · Maintenance KPIs · SAP PM
Data Accuracy · Production Performance · Python Automation · Data Visualization

🚀 What's Next

Developing practical, reusable data solutions for industrial operations, including production KPI dashboards, cost variance analysis, machine downtime analysis, and supplier performance monitoring.

📬 Connect

LinkedIn

Popular repositories Loading

  1. industrial-data-projects industrial-data-projects Public

    Industrial Engineer bridging the gap between the factory floor and the data stack.

  2. supply-chain-inventory-analysis supply-chain-inventory-analysis Public

    📦 Inventory & stock analysis dashboard — Python, Pandas, Plotly, Jupyter — Transforms raw inventory data from Excel and operational sources into interactive KPI dashboards and automated HTML reports.

    Jupyter Notebook

  3. weekly_maintenance_report weekly_maintenance_report Public

    🏭 Automates a weekly SAP PM maintenance report with Python and Jupyter: 2.5 hours of Excel become a 2-minute run. Produces a bilingual (FR/EN) HTML report, and Excel files, with KPIs, MTTR/MTBF and…

    HTML

  4. Sales-Analysis-Exercice Sales-Analysis-Exercice Public

    End-to-end exploratory data analysis of 12 months of sales transactions (~186k rows) from a US electronics retailer. The project merges raw monthly exports, audits and cleans the data with a logged…

    Jupyter Notebook