Sonia Mendizábal - Senior Data Scientist

Sonia Mendizábal

Senior Data Scientist

Mexico City

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Summary

👤

Senior

🎓

Top School

Sonia Mendizábal is a senior data scientist based in Mexico City with nearly a decade of hands-on experience building AI and ML solutions that drive measurable business impact across fintech, mobility, and international development. She combines deep expertise in predictive analytics, causal inference, propensity modeling and geospatial analysis with a proven record of mentoring teams and translating complex models into operational decisions at organizations like Google and BBVA AI Factory. Her background in actuarial science and an MS in Data Science underpins rigorous statistical thinking, while contributions to numerical analysis and scientific computing projects show a comfort with low-level numerical methods and reproducible analysis beyond typical ML workflows. Known for bridging research-grade methods with production priorities, she brings both domain versatility—from public sector development banks to high-growth startups—and a passion for leveraging AI to solve strategic business challenges.

9 years of coding experience

14 years of employment as a software developer

Highschool, Highschool at Tecnológico de Monterrey

Master of Science - MS Data Science, Master of Science - MS Data Science at Instituto Tecnológico Autónomo de México

English, German, French, Spanish

Github Skills (11)

c1710

matrix-multiplication10

mat10

numerical-analysis10

matrix10

c1110

python10

convex-optimization7

google-colab5

binder4

Programming languages (3)

RMakefileJupyter Notebook

Github contributions (5)

ITAM-DS/analisis-numerico-computo-cientifico

Jan 2017 - May 2017

Análisis numérico y cómputo científico

Role in this project:

Data Scientist

Contributions:14 commits, 8 PRs in 4 months

Contributions summary:Sonia contributed to a repository focused on numerical analysis and scientific computing. Their commits show the implementation of numerical methods in C, including calculations of errors and comparisons between different arithmetic representations. They also worked on creating and integrating with data processing and analysis tools, with particular emphasis on the comparison of numerical methods and the generation of plots to visualize results.

lapackmpipythontensoraws

Songeo/introduccion-r-bookdown

Sep 2017 - Feb 2020

Contributions:20 pushes, 1 branch in 2 years 5 months

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