Nicholas Cifuentes-goodbody

Data Scientist

Los Angeles, California, United States

Join Prog.AI to see contacts

Summary

👤

Senior

🎓

Top School

Nicholas Cifuentes-goodbody is a Data Scientist and educator based in Los Angeles with a decade of experience applying analytics and machine learning across the private sector and higher education in the US, Europe, Latin America, and the Middle East. He designs and teaches data science curriculum, revises hands-on Jupyter Notebook assignments, and blends pedagogy with practical tooling in Python (pandas, NumPy, SciPy, Bokeh), ML frameworks (TensorFlow, Keras, scikit-learn), NLP (spaCy, Gensim), and web scraping. His work spans product management and university accreditation, giving him a rare mix of technical depth and institutional strategy. Active on GitHub, he contributes curriculum-focused repos that improve decision-tree and linear-model assignments for learners. Fluent in SQL and experienced with Spark and Tableau, he builds end-to-end analytic workflows while keeping an educator’s eye for reproducibility and clarity. With a PhD in Hispanic and Latin American Literatures and Linguistics from Yale, he brings strong communication and cross-cultural insight to data projects.

10 years of coding experience

Doctor of Philosophy (PhD) Hispanic and Latin American Languages Literatures and Linguistics General, Doctor of Philosophy (PhD) Hispanic and Latin American Languages Literatures and Linguistics General at Yale University

Letras Latinoamericanas, Letras Latinoamericanas at Universidad Veracruzana

BA Spanish Language and Literature, BA Spanish Language and Literature at Williams College

English, Spanish, French, Arabic

Stackoverflow

Stats

243reputation

13kreached

2answers

9questions

Github Skills (20)

python10

data-science10

scikit10

pandas10

machine-learning10

linear-regression10

scikit-learn10

decision-tree10

jupyter-notebook10

data-analysis10

regression9

logistic-regression9

eda8

exploratory-data-analysis8

csv6

Programming languages (5)

TypeScriptRCSSJupyter NotebookPython

Github contributions (5)

bloominstituteoftechnology/DS-Unit-2-Kaggle-Challenge

Oct 2020 - Mar 2021

Role in this project:

Data Scientist

Contributions:9 commits, 222 PRs, 33 pushes in 5 months

Contributions summary:Nicholas's commits primarily involve modifications to a Jupyter Notebook file, specifically an assignment related to decision trees. These changes include adjustments to the project's initial setup, the inclusion of necessary dependencies, and the correct import commands. The user also appears to be working through the assignment tasks, implementing the data wrangling, splitting, and baseline accuracy calculations in the notebook.

bloominstituteoftechnology/DS-Unit-2-Linear-Models

Mar 2021 - Mar 2021

Role in this project:

Data Scientist

Contributions:8 commits, 27 PRs, 13 pushes in 7 days

Contributions summary:Nicholas revised and updated several Jupyter Notebook assignments related to linear models, ridge regression, and logistic regression. Their work included modifying existing code, potentially fixing issues, and incorporating edits, likely to reflect updated instructions or improve the clarity of the assignments. The revisions demonstrate a focus on practical applications of statistical learning techniques within a data science curriculum.

Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.

Request Free Trial