David Pascual
Staff Data Scientist Financial Services Risk Management (FSO AI & Data Technology Consulting)
Madrid, Community of Madrid, Spain
Summary
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Senior🎓
Top SchoolDavid Pascual is a Staff Data Scientist based in Madrid with 11 years of professional experience and a strong blend of industry and research perspectives as a PhD student at URJC. He specializes in financial services risk management, building regulatory data marts, ETL pipelines in Azure Databricks with PySpark, and Snowflake-backed data quality workflows to support credit risk reporting. Prior roles include migrating costly SAS processes to Python/PySpark data lakes, automating analytics pipelines, and delivering actionable dashboards and reports for commercial and public-sector stakeholders. His background in applied statistics and business administration helps him bridge technical implementation with regulatory and business requirements. An open-source contributor, he has hands-on full-stack experience from integrating a deep-learning digit classifier into the JdeRobot Robotics Academy web platform, showing comfort across Python, web tech, and configuration-driven projects. Colleagues value him for turning complex data engineering challenges into auditable, cost-saving solutions that inform high-stakes decisions.
11 years of coding experience
4 years of employment as a software developer
Business Administration & Management Business Administration and Management General, Business Administration & Management Business Administration and Management General at Universidad Autónoma de MadridApplied Statistics Statistics, Applied Statistics Statistics at Universidad Complutense de Madrid
Portuguese, English, Spanish
Github Skills (11)
html10
javascript10
python10
websocket9
css9
computer-vision8
django8
onnx7
gazebo-simulator5
gazebosim5
ros4
Programming languages (3)
Github contributions (5)
JdeRobot/RoboticsAcademy
May 2021 - Jul 2022
Learn Robotics with JdeRobot
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:3 reviews, 28 commits, 23 PRs in 1 year 2 months
Contributions summary:David primarily contributed to the development of a deep learning digit classifier exercise within the Robotics Academy. Their work included the implementation of the exercise using Python and integration with the existing web interface, involving modifications to HTML, JavaScript, and CSS files. The user also added and modified configuration files to integrate the exercise into the overall project structure and manage the exercise's launch. Furthermore, the user addressed bugs and ensured compatibility within the existing template system.
gazeboroboticscomputer-visionrobotics-programmingros
RoboticsLabURJC/2017-tfm-david-pascual
Oct 2017 - Oct 2020
Contributions:82 commits, 69 pushes, 1 comment in 3 years
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