
Rafael dos Santos Teixeira
@rafaeldossantosteixe
I build predictive models and data pipelines that improve operational decisions.
What I'm looking for
I've built 12 real-world data projects through TripleTen, including a taxi-demand forecasting model that achieved an RMSE of 42.60 and a used-car price model that improved 27.49% over baseline.
At Eiscafe Breda, I used weather, weekday, and seasonality data to forecast daily demand and support revenue and operational decisions. I also built advanced Excel models for KPI tracking, recipe scaling, and weighted tip distribution across 15 employees.
I work with Python, SQL, machine learning, statistical modelling, time series analysis, ETL pipelines, and data visualisation to turn large datasets into clear recommendations for technical and non-technical stakeholders.
Experience
Work history, roles, and key accomplishments
Production Manager
Eiscafe Breda
May 2018 - Nov 2024 (6 years 6 months)
Managed daily operations and demand forecasting using weather data and seasonality patterns. Built advanced Excel models for KPI tracking and process optimization.
Education
Degrees, certifications, and relevant coursework
TripleTen
Data Scientist, Data Science
2025 - 2026
Completed an intensive Data Scientist programme with approximately 630 hours of study across 17 modules, including 12 hands-on projects on real-world datasets.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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