At Mitsubishi Electric de Colombia, I developed Python scripts to classify inventory photo sharpness using image-processing rules and logistic regression. The automated check reduced a validation process that took 1–2 days to about 5 minutes.
I also automated industrial safety finding responses with Power Automate, generating action plans and notifying the people involved. The workflow processed about 73 inspection findings and mapped them to five risk categories.
Across my pre-manufacturing internship and projects, I built tools to integrate operational data and automate SAP processes using ABAP, Excel VBA, and Power Platform. I recently graduated in Systems and Computer Engineering from Universidad Nacional de Colombia.

