Nicholas Dela Fuente
Senior Data Scientist
Renton, Washington, United States
Summary
👤
Senior🎓
Top SchoolNicholas Dela Fuente is a Senior Data Scientist with six years of experience building end-to-end ML and analytics systems that move from prototype to production across healthcare, SaaS, and adtech. He specializes in geospatial pipelines and large-scale model deployments, having designed automated location-data workflows for urban mobility and secured customer data flows at Veraset. His background in clinical data science at Mayo Clinic grounds his work in interpretable, evidence-driven modeling and NLP on longitudinal EHRs, while roles at Pragmatic Institute and Salesforce show strong chops in data engineering, stakeholder alignment, and translating KPIs into product improvements. Comfortable across the stack (Airflow, Spark, Kubernetes, SageMaker, PySpark), he also teaches best practices for scalable ML and has led workshops to accelerate enterprise adoption. Based in Renton, WA, he pairs a physics degree and economics minor with a pragmatic focus on measurable impact and reproducible pipelines.
6 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Arizona State University College of Liberal Arts and SciencesMinor, Economics, Minor, Economics at Arizona State University - W. P. Carey School of Business
Github Skills (17)
reproducible-research10
data-science10
databases10
full-stack10
sql10
database10
sprint4
flask3
twitter-api2
web-application2
twitter2
lambda2
aws-lambda1
python1
serverless1
Programming languages (3)
Github contributions (5)
bloominstituteoftechnology/DS-Unit-3-Sprint-2-SQL-and-Databases
Nov 2020 - Jul 2021
SQL and Databases for Data Science
Contributions:23 commits, 22 pushes in 8 months
data-sciencedatabasedatabasessql
LambdaSchool/DS-Unit-3-Sprint-1-Software-Engineering
Feb 2021 - Jul 2021
Software Engineering and Reproducible Research for Data Science
Contributions:30 commits, 214 PRs, 41 pushes in 5 months
data-sciencereproducible-research
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