Eduardo Blancas
Co-Founder, CEO at Ploomber
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolEduardo Blancas is a data-driven founder and engineer with 11 years of experience building production-ready ML and data pipelines, currently co-leading Ploomber to help teams move interactive data work into reliable production. He previously deployed the first customer-facing ML model for asset management at Fidelity and has deep hands-on experience scaling batch processing and GPU workflows from his research at Columbia. Eduardo’s background spans backend engineering, ETL, and orchestration (Airflow, Flask, GCP, AWS) as well as applied data science for public policy and social-good projects. He contributes to open-source data science tooling—adding visualization tutorials and interactive mapping examples to widely used resources—showing a focus on making data accessible and reproducible. Based in New York, he combines entrepreneurial leadership with practical engineering discipline, often optimizing older codebases into tested, high-performance libraries. Notably, he blends mechatronics training with advanced data science, giving him a systems-oriented perspective on end-to-end ML delivery.
11 years of coding experience
6 years of employment as a software developer
B.S. Mechatronics Engineering, B.S. Mechatronics Engineering at Tecnológico de MonterreyUniversidad Nacional Autónoma de México (UNAM)Master of Science - MS Data Science, Master of Science - MS Data Science at Columbia UniversityUniversitat de Barcelona
Spanish, English
Stackoverflow
1,432reputation
141kreached
73answers
9questions
Github Skills (18)
folium10
seaborn10
python10
data-science10
matplotlib10
pandas10
recipe10
basics10
machine-learning9
python-modules6
jupyter-notebook6
xcode6
iphone6
local-notifications6
nsdate6
Programming languages (16)
Github contributions (5)
dssg/hitchhikers-guide
Apr 2016 - Jun 2016
The Hitchhiker's Guide to Data Science for Social Good
Role in this project:
Data Scientist
Data ScientistContributions:46 commits, 30 pushes, 3 branches in 1 month
Contributions summary:Eduardo contributed to the repository by adding tutorial examples focused on data visualization using Matplotlib, Seaborn, and Folium, which is indicative of data science tasks. This included integrating interactive map visualizations through Folium and creating data visualization tutorials, demonstrating a focus on making data accessible. The commits also involved the addition of a testing file to verify a function, showing a commitment to code quality within the data science context.
data-sciencedssgtrainingmachine-learning
ooliver1/ploomber
Jul 2021 - Sep 2021
Contributions:40 commits in 1 month
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