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nicoleroy06/README.md

Hi, I'm Nicole 👋

I'm a Computational Modeling & Data Analytics student at Virginia Tech pursuing an Economics track with minors in Statistics and Mathematics.

I'm interested in applying data science, statistical modeling, and large-scale data analysis to real-world problems.

Technical Skills

  • Programming: Python, R, SQL, MATLAB, C, Java
  • Data: Pandas, NumPy, PySpark
  • Visualization: Matplotlib, Tableau, ArcGIS
  • Tools: Git, Docker, Linux

Featured Projects

Miles to Care: Transportation Barriers & Patient Journeys

Analyzed healthcare utilization and transportation barriers using a 7.7M+ row dataset for ASA DataFest 2026.

My work included:

  • Data ingestion and cohort construction across a 7.7M+ row healthcare dataset
  • Feature engineering and longitudinal patient-journey analysis in R
  • Statistical analysis in Python using Pandas and statsmodels
  • Logistic regression examining transportation barriers and emergency department utilization

🏆 1st Place — ASA DataFest Virginia Tech 2026

Consumer Finance Big Data Analysis

Analyzed approximately 17.3 million CFPB consumer complaints using Python, PySpark, and Spark SQL.

  • Used PySpark for large-scale data aggregation and exploration
  • Wrote Spark SQL queries to analyze geographic patterns, response behavior, and yearly complaint trends
  • Created a Matplotlib visualization showing the growth in complaint volume over time

Currently Learning

  • PySpark
  • SQL
  • Regression modeling
  • Data analytics and visualization

Pinned Loading

  1. miles-to-care-datafest-2026 miles-to-care-datafest-2026 Public

    Healthcare analytics project examining transportation barriers and patient journeys using a 7.7M+ row dataset for ASA DataFest 2026.

    Jupyter Notebook

  2. consumer-finance-big-data-analysis consumer-finance-big-data-analysis Public

    Large-scale consumer finance analysis using Python, SQL, and PySpark with the CFPB Consumer Complaint Database.

    Python