Daniel Izquierdo - Data Scientist

Daniel Izquierdo

Data Scientist

New York, New York, United States

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Summary

👤

Senior

🎓

Top School

Daniel Izquierdo is a data scientist and machine learning engineer in New York with a decade of experience applying analytics to social impact and civic engagement. He has led data acquisition, modeling, NLP and A/B testing efforts at Color Of Change and its PAC, turning messaged-driven experiments and dashboards into actionable program improvements. Comfortable both teaching and shipping production analytics, he has trained cohorts at Flatiron School and Correlation One while building repeatable reporting systems for organizers. His background in structural engineering and hands-on web development gives him a pragmatic, systems-oriented approach to data problems and clear communication of technical results to nontechnical stakeholders. Focused on "data for good," he combines rigorous statistical thinking with product-minded execution to drive measurable change.

10 years of coding experience

7 years of employment as a software developer

Data Science Immersive Bootcamp Data Science, Data Science Immersive Bootcamp Data Science at Flatiron School

Master of Science - MS Structural Engineering, Master of Science - MS Structural Engineering at Columbia University

Bachelor's of Science Civil Engineering, Bachelor's of Science Civil Engineering at Columbia Engineering

Spanish

Github Skills (13)

hashtag9

twitter-sentiment-analysis9

twitter7

sentiment7

nyc6

sentiment-analysis6

spotify-api5

nlp5

spotify4

science3

mechanics3

machine-learning3

react3

Programming languages (4)

TypeScriptJupyter NotebookRubyPython

Github contributions (5)

danjizquierdo/dsc-04-41-03-deep-networks-lab-building-an-image-classifier-nyc-ds-career-012819

Apr 2019 - Apr 2019

Contributions:806 pushes, 1 branch in 1 day

danjizquierdo/Sentimental

Dec 2019 - Jun 2020

Sentiment and statistical analysis of twitter data

Contributions:59 commits, 53 pushes, 4 branches in 5 months

nlptwitter-sentiment-analysisstatisticaltwitter-datasentiment

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