Santiago Basaldúa
PhD, Senior Data Scientist
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolSantiago Basaldúa is a PhD-level Senior Data Scientist with over a decade of experience building analytic solutions and frameworks for financial services, currently leading big-data analytics at BBVA Data & Analytics in Madrid. He blends hands-on programming in R and Python (and occasional C++) with a strong background in high-dimensional statistical modeling and analytic software engineering. Santiago has a track record of delivering both short-term product viability studies and long-term, quality-focused analytical infrastructure for teams. His experience spans consulting and entrepreneurship, including roles at Synergic Partners and founding dyBOT, giving him both client-facing and product-building perspective. Trained in statistics and computer science with MIT Professional Education in Data Science, he is comfortable operating at the intersection of research-grade methods and production-scale systems. Colleagues rely on him to translate complex, high-dimensional problems into reproducible, auditable analytics that drive business decisions.
10 years of coding experience
11 years of employment as a software developer
MIT Professional Education, Data Science, MIT Professional Education, Data Science at Massachusetts Institute of TechnologyColegio Alemán de BilbaoEscuela Superior de Ingenieros Industriales BilbaoLicenciado en estadística, Statistics, Licenciado en estadística, Statistics at Universidad de La Laguna
English, Spanish, French, German
Github Skills (14)
testing5
robustness5
machine-learning4
data-processing4
data-cleaning4
python4
feature-engineering4
monitoring3
analytics3
data-science3
data-structure1
storage1
querying1
trie1
Programming languages (3)
Github contributions (5)
BBVA/mercury-reels
Apr 2023 - Feb 2025
Reels is a library for analyzing sequences of events from transactional data to predict when related target events may occur in the future.
Contributions:26 releases, 40 PRs, 38 pushes in 1 year 9 months
BBVA/mercury-settrie
Apr 2023 - Mar 2025
A Python 3 library developed in C++ that enables efficient storage and querying of sets of sets. It can be used to perform fast document search. Uses the Settrie algorithm: https://osebje.famnit.upr.si/~savnik/papers/cdares13.pdf
Contributions:8 releases, 17 PRs, 19 pushes in 1 year 11 months
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