Javier Ortiz
Senior Data Scientist
Madrid, Community of Madrid, Spain
Summary
🤩
Rockstar🎓
Top SchoolJavier Ortiz is a Senior Data Scientist based in Madrid with four years of hands-on experience turning complex time series problems into deployable ML products. He co-created and co-maintains skforecast, an open-source Python library with over 100K monthly downloads, and has contributed concrete SARIMAX examples and documentation improvements that make forecasting more accessible. At IKEA he has led global AI-driven financial services initiatives and mentored teams while shaping analytics strategy and reusable data services for food operations. His background in chemical engineering and refinery operations gives him uncommon domain fluency for industrial forecasting and predictive maintenance use cases. Javier also teaches programming and data fundamentals at UNIR and regularly presents at conferences and workshops, bridging research, open source, and product delivery. Colleagues describe him as a collaborative problem-solver who favors pragmatic, well-documented solutions that scale across markets.
4 years of coding experience
7 years of employment as a software developer
Máster, Chemical Engineering, Máster, Chemical Engineering at Universidad Autónoma de MadridData Scientist with Python, Data Processing, Data Scientist with Python, Data Processing at DataCampGrado en Ingeniería Química, Grado en Ingeniería Química at Universidad Complutense de MadridMaster's Degree Intensification in Refining and Petrochemicals, Ingeniería, Master's Degree Intensification in Refining and Petrochemicals, Ingeniería at Universidad de Cádiz - CEPSAMaster of Business Administration - MBA, Gestion empresarial, Master of Business Administration - MBA, Gestion empresarial at Escuela de Organización IndustrialOil and Gas Trading and Shipping Expert, Economía, Oil and Gas Trading and Shipping Expert, Economía at Instituto Marítimo EspañolFormación de empresa, Finance, General, Formación de empresa, Finance, General at Qaracter - Beyond your ChallengeCDX - Zenit Master Data Scientist, Data Processing and Data Processing Technology/Technician, CDX - Zenit Master Data Scientist, Data Processing and Data Processing Technology/Technician at CDX_DT
Spanish, English
Github Skills (4)
time-series-forecasting10
documentation10
statsmodels10
python10
Programming languages (3)
Github contributions (5)
skforecast/skforecast
Dec 2021 - Jan 2023
Time series forecasting with machine learning models
Role in this project:
Data Scientist
Data ScientistContributions:1 release, 116 reviews, 230 commits in 1 year 2 months
Contributions summary:Javier's contributions primarily focused on updating and implementing examples for forecasting using SARIMAX models. The changes involved adding code examples, modifying existing examples, and correcting docstrings to improve the usability and clarity of the documentation related to SARIMAX model usage within the Skforecast library. The user's work included demonstrating model usage with different parameters, in-sample residuals, and the utilization of custom metrics.
forecastingpythontime-seriesdirect-forecastingstatsmodels
JavierEscobarOrtiz/Workingon
Dec 2021 - Mar 2023
Contributions:68 pushes, 1 branch in 1 year 3 months
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