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  • Northwestern University
  • Chicago, IL
  • 08:20 (UTC -05:00)
  • LinkedIn in/joshua-pasaye

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jep9731/README.md

Hi, I'm Joshua Pasaye

Data Analyst | MS in Data Science Candidate | Clinical Research Professional

Welcome to my GitHub! I'm a data-driven professional passionate about transforming complex datasets into actionable insights. Currently completing my Master's in Data Science at Northwestern University while working as a Clinical Research Coordinator, where I leverage analytics to drive decision-making and optimize research operations.

Here's how my repositories are organized:

Academic Coursework & Projects

Coursework & final projects from my data science education.

Professional Projects

Real-world applications from clinical research.

Personal Projects

Self-driven explorations and certificates.

Featured Work

Check out these highlighted projects:

Capstone Project
Capstone project utlizing full end-to-end analytics and modeling for business insights

Clinical Trial Schedule Optimization
MILP model optimizing clinical trial visit scheduling using Python

Neuroimaging Research Analysis
Statistical analysis of neuroimaging and cognitive data using R

Machine Learning Applications
Supervised learning models (Random Forest, XGBoost) on business datasets

Current Focus (Spring 2026)

  • Unsupervised Machine Learning (Clustering, Dimensionality Reduction, Anomaly Detection)
  • Capstone Project - End-to-end data science solution for business problem
  • Building Tableau & Power BI dashboards for portfolio
  • Seeking Data Analyst opportunities post-graduation (June 2026)

Let's Connect!

LinkedIn: linkedin.com/in/joshua-pasaye

Email: joshuapasaye@yahoo.com

Location: Chicago, IL

I'm actively seeking data analyst opportunities where I can apply my analytical skills and research expertise to drive business insights. Feel free to explore my repositories and reach out!

Currently open to: Data Analyst, Business Analyst, and Research Analyst roles

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  1. academic-MSDS460-final-project academic-MSDS460-final-project Public

    This respository contains the code for my MSDS 460 Decision Analytics project titled "MILP Schedule Optimization: Clinical Trial Visit Scheduling". This project utilized an MILP model to optimize c…

    Jupyter Notebook 1

  2. professional-nu-research-projects professional-nu-research-projects Public

    This repository contains a set of independent research projects exploring neuroimaging and neuropsychological data using modern analytical, statistical, and computational methods. Each project is f…

    R 1

  3. academic-MSDS422-coursework academic-MSDS422-coursework Public

    This repository contains assignments for MSDS 422: Practical Machine Learning. The course focuses on hands-on application of machine learning techniques to solve real-world business problems. I exp…

    Jupyter Notebook 1

  4. academic-MSDS420-final-project academic-MSDS420-final-project Public

    This repository contains the final project for Group 3 in the MSDS 420 course. Group members include: Joshua Pasaye (repository owner), Kelsey Kwon, & Anna Prunty-Burkart. Joshua implemented & benc…

    Jupyter Notebook 1

  5. academic-MSDS410-coursework academic-MSDS410-coursework Public

    Applied data analysis and supervised learning projects focused on regression modeling, statistical inference, and model validation.

    HTML 1

  6. academic-MSDS453-final-project academic-MSDS453-final-project Public

    Portfolio of applied NLP and AI project demonstrating data analysis, text modeling, and predictive insights using modern machine learning techniques.

    Jupyter Notebook 1