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  • Northwestern University
  • Streamwood, Illinois
  • 21:13 (UTC -05:00)
  • LinkedIn in/joshua-pasaye

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jep9731/README.md

Hi, I'm Joshua Pasaye

Senior Service Line Analyst | MS in Data Science – Northwestern University

Welcome to my GitHub! I'm a healthcare data professional with a background in clinical research analytics and a Master of Science in Data Science from Northwestern University. I specialize in translating complex clinical and operational data into actionable insights that drive decision-making across health systems.

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 and healthcare analytics.

Personal Projects

Self-driven explorations.

Featured Work

Capstone Project – Healthcare Predictive Analytics
Patient risk stratification model and Power BI dashboard for hospital executives, built end-to-end using Python and real clinical data

Clinical Trial Schedule Optimization
MILP model reducing scheduling conflicts by 30% using Python

Neuroimaging Research Analysis
Statistical analysis of neuroimaging and cognitive data in R, supporting Alzheimer's disease research

Machine Learning Applications
Ensemble models (Random Forest, XGBoost) achieving 85%+ accuracy on business forecasting problems

Current Focus

  • Senior Service Line Analyst at Ascension Health — healthcare operations analytics
  • MS in Data Science (Northwestern University, June 2026)
  • Expanding work in healthcare analytics, service line performance, and operational dashboards

Let's Connect!

LinkedIn: linkedin.com/in/joshua-pasaye
Email: [email protected]
Location: Streamwood, IL

Open to collaborating on healthcare analytics, data science, and clinical operations projects.

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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