Christian Pascual

United States
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Summary

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Christian Pascual is a statistician and educator with a decade of experience translating complex data into clear, teachable insights. Currently completing a PhD in Biostatistics at UC San Diego, he has supported public health research at Columbia and applied industry biostatistics during an internship at Johnson & Johnson. He contributes practical data science solutions on GitHub, publishing Jupyter-based walkthroughs that demonstrate reproducible analysis for real-world problems like loan data and behavioral studies. Known for explaining statistical concepts accessibly, he blends rigorous methodological training with hands-on coding to help others learn and apply statistics effectively.
code10 years of coding experience
job6 years of employment as a software developer
bookBachelor's Degree, Biomedical Engineering, Bachelor's Degree, Biomedical Engineering at University of California, Davis
bookUniversity of California, San Diego
bookBiostatistics, Biostatistics at Columbia University Mailman School of Public Health
languagesJapanese, Spanish
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Github Skills (13)

data-visualizations10
pandas10
probability10
jupyter-notebook10
data-visualization10
combinatorics10
data-visualisation10
python10
r10
data-analysis10
sql9
html8
machine-learning4

Programming languages (3)

RHTMLJupyter Notebook

Github contributions (5)

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dataquestio/solutions

Apr 2019 - Oct 2022

Solutions for projects.
Role in this project:
userData Scientist
Contributions:2 reviews, 29 commits, 3 PRs in 3 years 7 months
Contributions summary:Christian contributed to the "solutions" repository by adding solutions manuals in the form of Jupyter notebooks and HTML files. The commits focused on data analysis, including solutions for a lottery addiction project and loan data. These contributions demonstrate the user's ability to analyze and solve problems within a data science context.
thecbp/P8105_final

Nov 2018 - Dec 2018

Contributions:65 commits, 44 pushes, 1 branch in 1 month
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Christian Pascual