I am an Industrial Engineer with graduate training in Industrial Engineering, Digital Business, Applied Statistics — currently in progress — and a Ph.D. in Systems and Computer Engineering.

I work in data science, machine learning, time series analysis, and decision-support systems for industry and research.

Professional Focus

• Data science and applied machine learning for business and research problems
• Forecasting, optimization, and statistical quality control
• Geospatial and satellite data analysis
• Development of decision-support tools and dashboards

Experience Highlights

• Data Scientist at PepsiCo (Latin America): demand, cannibalization, and innovation models, plus KPI monitoring dashboards
• Senior Researcher at Universidad de Zaragoza: ML research, time series modeling, and applied solutions in real organizations
• Former Data Scientist at iFood: demand prediction, anomaly detection, and automated ML pipelines
• Teaching experience in data and statistics

Tools and Technologies

Python, R, SQL, Power BI, Tableau, TensorFlow, Keras, Docker, Databricks, Azure, Git, Spark, Rasterio, Geopandas, Excel.

Languages

• Spanish: native
• English: intermediate

Contact

• Email: mestebansuaza@gmail.com
• LinkedIn: https://www.linkedin.com/in/mariosuaza