|
I'm an Operations Coordinator and Junior Data Analyst with an academic background in Mechatronics & Robotics Engineering. I enjoy working where data, operations and problem-solving meet. For me, analytics is not only about writing queries or building dashboards. The interesting part is understanding: What happened? Why did it happen? Does it matter? What should happen next? I use SQL, Python, Excel, Tableau and Power BI to turn scattered information into something structured, understandable and useful. |
|
tools currently in active rotation
|
Finding patterns, anomalies and relationships hidden inside raw data.
|
Turning analytical results into dashboards that are easier to understand.
|
Connecting technical results to business context and practical decisions.
|
what I'm building, sharpening and exploring right now
|
|
|
|
🟣 SQL — deeper query thinking |
Consistency matters more than decorative streaks.
| The analysis is only as useful as the question being asked. | Interesting results still need validation. | Complexity should not become the final product. | An insight should eventually support a decision. |
|
My background is in Mechatronics & Robotics Engineering. Engineering trained me to look at systems as connected components rather than isolated pieces. That mindset stayed with me when I moved deeper into analytics. Now, instead of only asking how a system behaves, I also ask what the data generated by that system can tell us. |
|
|
Deeper analytical reasoning CTEs · window functions · cleaner logic |
Independent analytical workflows cleaning · EDA · transformation |
Better visual communication dashboards · KPIs · storytelling |
Stronger decision context insight → impact → action |
SQL
↓
Python
↓
Visualization
↓
Business Context
↓
Better Decisions
learn → build → test → understand → improve
Data Analytics
•
Business Intelligence
•
Operations Analytics
Customer Analytics
•
Retention
•
Data Visualization
•
Automation
