Data Analyst with a background in mechanical engineering and additive manufacturing.
I started my career working directly with machines, materials and production processes.
On the shop floor, I often saw decisions being made based on experience and intuition even when data was available.
That’s what pushed me to move into data analysis.
Today, I focus on understanding how systems behave through data and how they can be improved using clear, practical insights.
| Project | What it solves | Tools |
|---|---|---|
| 🔋 Solar Energy Monitoring Dashboard | Helps plan production based on energy availability | Python, Streamlit, SQL |
| 🏭 Industrial Defect Detection | Supports inspection by detecting defects in images | Python, ML, OpenCV |
| 📈 Manufacturing Analytics | Identifies bottlenecks and improves utilization | Python, SQL, Power BI |
Production Systems → Data Analysis → Better Decisions Sensor Data → Insights → Process Improvement Machine Learning → Practical Use → Industrial Applications
- Data Analyst
- BI / Analytics
- Applied Data Science (Junior / Entry-level)