Javier Cuadrado
Científico De Datos
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolJavier Cuadrado is a Madrid-based data scientist with nine years of experience applying mathematics, statistics and machine learning to insurance and financial risk. At CESCE he builds, validates and monitors statistical models for pricing and risk control, while helping drive the company’s Big Data architecture and model production. Previously he led process optimization and migration to Big Data at Stratio, contributing full-stack enhancements to a real-time Spark-based analytics platform and shipping UI and backend features for policy management. Comfortable across the model lifecycle, he blends quantitative rigor with implementation skills—automating reports, monitoring model performance and integrating solutions with systems teams. His background in pure mathematics and a Master’s in Big Data & Business Analytics underpin a pragmatic approach to translating complex models into measurable business outcomes.
9 years of coding experience
Máster en Big Data & Business Analytics, Máster en Big Data & Business Analytics at IMF Business SchoolGrado en Matemáticas y Estadística, Grado en Matemáticas y Estadística at Universidad Complutense de Madrid
Github Skills (10)
javascript10
web-development10
group-policy10
policies10
angularjs10
ui-design9
front-end-development9
html9
uid9
css8
Programming languages (5)
Github contributions (5)
Stratio/sparta
Mar 2017 - May 2017
Real Time Analytics and Data Pipelines based on Spark Streaming
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:19 commits, 28 PRs, 3 pushes in 2 months
Contributions summary:Javier primarily focused on enhancing the web interface and back-end functionalities. Contributions include the implementation of form validations and new views for policy management. The user also addressed various bugs and fixed issues related to cube editing, indicating proficiency in debugging and code maintenance. Furthermore, the user's work involved the addition of features such as backup creation and modifications to the execution modal, showing a broad understanding of the application's architecture.
real-time-analyticsstream-processinganalyticsstreaming-dataspark-sql
fjsc/simple-carousel
Nov 2016 - May 2017
Contributions:16 commits, 2 PRs, 3 pushes in 6 months
sliderpolymercarouselcarousel-component
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