Ariadna Romero
Senior Data Scientist Machine Learning Engineer
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAriadna Romero is a Senior Data Scientist and Machine Learning Engineer with 11 years of experience translating research-grade simulation and materials science expertise into production ML and MLOps solutions at scale. Based in London, she has led the design and implementation of enterprise MLOps platforms, XGBoost pipelines, and AWS feature store proofs-of-concept that reduced boilerplate and enabled real-time inference across financial use cases. Her background as a physicist and postdoc—working with HPC and ab initio methods—gives her a rare combination of deep technical modeling, reproducibility focus, and hands-on engineering. She has delivered measurable business impact in credit risk and CLV projects, driven demand-forecasting and pricing uplift, and co-founded IoT and energy-efficiency ventures. An active mentor and advocate for women in STEM, she also contributes open-source course materials on applied ML and blends academic collaboration experience across Germany, the US and Mexico with practical cloud-native production delivery.
11 years of coding experience
14 years of employment as a software developer
English as a Second or Foreign Language (Summer school), English as a Second or Foreign Language (Summer school) at Nottingham Trent UniversityBachelor of Science (BSc), Physics, Bachelor of Science (BSc), Physics at Fundación Universidad de las Américas, Puebla, A.C.Universidad Nacional Autónoma de México (UNAM)
Spanish, English, German, Italian
Stackoverflow
1reputation
0reached
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Github Skills (10)
scikit10
regression10
machine-learning10
jupyter-notebook10
python10
data-science10
regularization10
scikit-learn10
evaluation9
eval9
Programming languages (2)
Github contributions (5)
Starignus/AppliedML_Python_Coursera
Jun 2017 - Nov 2022
Material and note of the course of Applied ML in Python
Role in this project:
Data Scientist
Data ScientistContributions:23 commits, 2 PRs, 16 pushes in 5 years 6 months
Contributions summary:Ariadna primarily contributed to the course materials on machine learning, specifically focusing on model complexity, regularization techniques, and the use of Support Vector Machines (SVMs). Their commits include adding and editing notes within the Jupyter Notebooks, focusing on the concepts of regularization with Ridge and Lasso regression, and expanding the understanding of SVMs and their kernelized versions. They also added content on model evaluation with confusion matrices and other metrics.
pythondata-sciencemachine-learningapplied-mlscikit-learn
Starignus/Python_Workshop_ICAH
Dec 2016 - Dec 2016
Contributions:31 commits, 24 pushes, 1 branch in 12 days
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