Carlos Martín
Senior Data Scientist
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolCarlos Martín is a Senior Data Scientist based in Amsterdam with 9 years of experience building production-grade forecasting systems for the energy sector. He combines deep expertise in time series forecasting, MLOps, and event-driven architectures with hands-on skills in Spark, Kafka/Redpanda, Docker/Kubernetes and CI/CD to deliver reliable, scalable pipelines. As Forecasting Tech Lead at Shell he led a scrum team that cut forecast error by 60% and saved €600K per year while enabling traders to adjust forecasts via an internal web app. His background in industrial ecology and early work on district energy and EV charging gives him a systems-level view of energy flexibility and sustainability that informs pragmatic model design. Known for promoting DevOps culture and replacing notebook-centric workflows with tested, modularized code, he excels at bridging data science, engineering and product teams.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Environmental Science, Bachelor of Science (B.S.) Environmental Science at Universidad de GranadaMaster of Science (M.Sc.) Erasmus Mundus - Industrial Ecology, Master of Science (M.Sc.) Erasmus Mundus - Industrial Ecology at Delft University of Technology
Spanish, English, German, Dutch
Github Skills (31)
shiny10
rstudio10
r9
r-package9
reactive9
htmlwidgets9
plumber9
web-development9
voila8
api8
widgets7
api-server6
python6
dygraphs6
mongodb5
Programming languages (4)
Github contributions (5)
cvmartin/eflows.site
Sep 2020 - Jun 2021
site for eflows.nl
Contributions:2 PRs, 25 pushes, 1 branch in 8 months
eflows
cvmartin/airflow-spark
Jan 2022 - May 2022
Docker with Airflow and Spark standalone cluster
Contributions:2 PRs, 9 pushes, 1 branch in 4 months
emrdockerstandalonesparkairflow
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