Rafael Valero-fernandez

Manager And Lead Data Scientist, VP

London, England, United Kingdom
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Summary

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Senior
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Rafael Valero-Fernandez is a Lead Data Scientist and VP at Barclays with 10 years’ experience applying statistics, econometrics and engineering to people analytics and wellbeing. He builds data-driven products from surveys, HR systems and workplace analytics to surface causal insights about performance, diversity and Covid impacts, working closely with product managers and stakeholders to operationalize results. With a PhD in Economics and an academic background in Bayesian methods, VARs and A/B testing, he blends rigorous research methods with practical deployment (Python, R, Spark) and governance for fairness. He coaches and scales data science teams, driving standardization around tools and practices such as Git, CI, documentation and reproducible analysis. Prior roles in university research and e‑commerce recommendation systems give him a rare mix of academic depth and applied product delivery. Colleagues describe him as focused on measurable impact and on improving colleagues’ quality of life through thoughtful, evidence-based interventions.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster of Arts, Econometrics and Quantitative Economics, Master of Arts, Econometrics and Quantitative Economics at University of Alicante
bookDoctor in Economics, Economics, Doctor in Economics, Economics at Universitat d'Alacant
bookLicenciado en Economía, Business/Managerial Economics, Licenciado en Economía, Business/Managerial Economics at Universidad de Murcia
languagesEnglish, Spanish
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2,786reputation
3.4mreached
94answers
5questions
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dictionary
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Github Skills (42)

sentence-embeddings9
python9
nltk9
bert9
topic-models9
tf-idf9
dictionary9
classification8
topic-modeling8
transformers7
anova7
machine-learning7
natural-language-processing7
statistical-tests7
nlp7

Programming languages (5)

C++HTMLJupyter NotebookMATLABPython

Github contributions (5)

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rafaelvalero/SCSL

Apr 2018 - Jan 2022

Synthetic Control with Statistical Learning
Contributions:1 release, 2 PRs, 9 pushes in 3 years 9 months
statistical-learning
Contributions:6 commits, 1 push, 3 branches in 3 years 9 months
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