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Adam Navarro

@adamnavarro1

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Senior Data Scientist & ML Engineer building production-grade AI systems with real-world impact.

Spain

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What I'm looking for

I’m looking to build production-grade AI and ML systems—especially geospatial and extreme-class-imbalance problems—where I can architect novel models, own delivery to operations, and improve metrics that directly impact product outcomes.

I’m a Senior Data Scientist & Machine Learning Engineer with 8+ years building production-grade AI systems, focused on practical performance in the hardest regimes—especially extreme class imbalance (<1% prevalence) and geospatial intelligence. I design and deliver ML architectures that move from concept to operational impact.

At TomTom, I led the architecting of a novel vandalism detection ML system for OpenStreetMap, achieving a 5x increase in harmful edit detection and improving F1-score by 8pp over prior benchmarks while maintaining high operational accuracy. I also support open-source release strategy and navigate internal IP review and patent filing for the underlying architecture.

I’ve driven measurable improvements as a Technical Lead for a cross-functional squad, delivering up to 30pp gains across 8 global regions in address positional accuracy. Earlier roles include building production ML systems (dynamic pricing with automated ETL and a web app) and developing geospatial lead-generation and AML risk classification—always with a strong emphasis on data-driven methodologies that improve processes and products.

Experience

Work history, roles, and key accomplishments

Senior Data Scientist / ML Engineer

Tomtom

May 2022 - Feb 2026 (3 years 9 months)

Led the architecting of a novel vandalism detection ML system for OpenStreetMap, delivering a 5x increase in harmful edit detection and improving F1-score by 8pp while handling extreme class imbalance (<1% prevalence). Served as technical lead for a cross-functional squad improving address positional accuracy, delivering up to 30pp gains across 8 global regions.

Machine Learning Geospatial ML (H3 PostGIS Extreme Class Imbalance Modeling OpenStreetMap fastAPI Pyspark Docker Terraform

Data Scientist

Tomtom

Jul 2021 - May 2022 (10 months)

Developed TomTom’s North-Star quality metric for geocoding, used to guide global engineering, sourcing, and product management investments. Built a geospatial NLP framework measuring end-user experience via semantic similarity between high-volume entity datasets.

Metric Design Geospatial NLP Data Science Data Analysis Python R SQL Git

Data Scientist & ML Engineer

Atenoil

Oct 2019 - Jun 2021 (1 year 8 months)

Deployed an end-to-end dynamic pricing system by designing automated ETL pipelines, optimizing ML models, and building the production web application. Unified fragmented information systems into a central, high-availability SQL database enabling the company’s first automated retail demand and RFM analytics.

Dynamic Pricing ETL Web Application Development Data Architecture SQL Data Modeling Python Linux

Data Scientist

Banreservas

Mar 2018 - Sep 2019 (1 year 6 months)

Developed geospatial lead-generation applications for mortgage loans and used profitability-based customer segmentation to optimize the national branch expansion plan. Built data-driven approaches to target and prioritize growth opportunities across branches.

Geospatial Intelligence Lead Generation Customer Segmentation Data Science SQL Data Analysis Python Linux

Risk Analyst

Seguros Sura

May 2017 - Mar 2018 (10 months)

Developed the first Anti Money Laundering (AML) risk classification matrix for the insurance company, ensuring compliance with newly established regulation. Translated regulatory requirements into a repeatable risk classification approach.