Industrial Engineer bridging the gap between the factory floor and the data stack.
I automate industrial reporting using Python & Jupyter — transforming raw data from ERP systems, Excel files, PDF exports, and other operational sources into clean, interactive, and automated reports delivered on schedule.
| Domain | Tools |
|---|---|
| Data Extraction | SAP · Oracle · Excel · PDF · Operational Sources |
| Data Processing | Python · Pandas · NumPy |
| Visualization | Plotly · Matplotlib · Seaborn |
| Reporting | Jupyter · nbconvert · HTML · PDF |
| Version Control | Git · GitHub |
(Coming soon — first projects publishing July 2026)
- 🔵 KPI Production Dashboard — OEE/TRS tracker with Plotly interactive charts
- 🟢 Cost Variance Report — Multi-source data → automated HTML report
- 🟡 Machine Downtime Analyzer — Pareto analysis + heatmap by shift
- 🔴 Supplier Scorecard — Automated monthly performance report
- ⚪ Industrial Reporting Templates — Reusable Python & Jupyter templates
Cost Control · Industrial KPIs · Report Automation · Data Extraction
Production Performance · OEE/TRS · Data Visualization · Python Automation