I am an Industrial Engineer in training with a strong analytical mindset and a solid foundation in process optimization, operations management, and quantitative analysis.
I am currently completing a Technical Program in Data Science, where I have been strengthening my skills in Python, applied statistics, Business Intelligence, and database handling.
My professional experience combines logistics, warehouse supervision, industrial safety, auditing, and operational reporting, which has helped me develop a practical understanding of both technical and operational environments.
I have worked on initiatives that improved warehouse efficiency, inventory traceability, and KPI monitoring, and I enjoy finding structured solutions that create measurable impact.
I also have experience building data analysis projects such as anomaly detection, statistical research, demand forecasting, and CRUD systems in Python, which reflects my interest in turning data into actionable insights.
I consider myself a results-oriented professional with leadership ability, strong communication skills, and advanced command of Microsoft 365 and Google Sheets. I am open to relocation and interested in opportunities where I can contribute through analysis, process improvement, and operational excellence.