Skip to content
View JoshuaPina's full-sized avatar

Block or report JoshuaPina

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
JoshuaPina/README.md

Howdy, my name is Josh, thanks for stopping by!

Data Scientist. Former Data Engineer, Program Manager, and Combat Medic (68W).
Building production systems and MLOps pipelines that solve the real problems I run into at work.
Founded the GSU Data Science Org in 2025 to house senior capstone projects. Transferred to Dr. Kiril Kuzmin to support future students.
Developed the Nimbus2000 Attendee Pipeline for PCI. Built to wrangle attendee-level data and training-level assets.

Portfolio  |  LinkedIn

Summer 2026 - AI Tech Fellow @ CodePath
Fall 2026 - M.S. Analytics @ Georgia Tech

Joshua_D_Pina = {
    "class":      "Polymath",
    "clearance":  "Active Secret",
    "expertise":  "Data Science",

    "background": "Program Management",
    "current_op": "Operation Nimbus",
    "military":   "U.S. Army Combat Medic Veteran",

    "education":  "B.S. Data Science, GSU (2025)",
    "future":     "M.S. Analytics, Georgia Tech (2027)",
    "alumni":     ["CodePath", "ColorStack", "FourBlock"],
}
Data Science is pretty cool. Ethical Data Science is cooler.
Check out some recent projects & my tech stack below.

Recent Projects

  • Nimbus 2000 (Private | Production)
    • End-to-end ETL platform integrating messy multi-source data into a clean relational backend, with analytics products that non-technical stakeholders can actually use.
  • Music Recommendation System
    • Backed by the Gemini API, provides real-time reasoning behind every recommendation rather than treating it as a black box.
      Repo + Demo
  • Campus Burglary Risk Prediction
    • Led a student Data Science team in building a containerized app that uses ML to predict burglary hotspots in Metro Atlanta to help students make safer decisions.
      Repo + App
  • Living Library
    • Full-stack application aimed at making studying easier for neurodivergent students.
      Repo + App


Tech Stack

Languages & Databases

Python R SQL PostgreSQL MongoDB

Data Analysis & Visualization

Pandas Polars NumPy Matplotlib Jupyter Tableau Power BI

Data Science & Machine Learning

scikit-learn TensorFlow PyTorch Hugging Face Weights & Biases Optuna PySpark XGBoost LightGBM CatBoost Azure

Tools & Infrastructure

Streamlit FastAPI Supabase Docker GitHub Actions GitHub LaTeX Kaggle

Web

HTML5 CSS3 JavaScript Vue.js Node.js


Certs & Continuing Education

  • CodePath: Applications of AI Engineering (Inaugural cohort, June 2026)
    • CompTIA: Security+
  • CodePath: Foundations of AI Engineering (Honors)
  • Google: AI Professional
  • IBM: Data Analyst

Pinned Loading

  1. gsu-ds/campus-burglary-risk-prediction gsu-ds/campus-burglary-risk-prediction Public

    [GSU] Data Science Capstone Project (Gunn, Harini, Joshua, Robin)

    Jupyter Notebook 2 2

  2. applied-ai-system-project applied-ai-system-project Public

    Improving a previous CodePath - Foundations of AI project and extending it into a full applied AI system.

    Python

  3. graph-cut-imaging graph-cut-imaging Public

    [GSU] Design & Analysis: Algorithms Project (Joshua Pina)

    Jupyter Notebook 7

  4. ML-HNSCC-Study ML-HNSCC-Study Public

    [GSU] Machine Learning Project (Somiya, Joshua, Abdul-Mohamed) - Exploratory ML to improve head and neck cancer treatment plans, with a focus on maximizing KBRT.

    Jupyter Notebook 1 1

  5. living_library living_library Public

    [GSU] Database Systems (Joshua Pina)

    Jupyter Notebook 1

  6. The Shinier Master Converter The Shinier Master Converter
    1
    #!/usr/bin/env python3
    2
    # convert_me.py
    3
    # ---------------------------------------------------------
    4
    # DESCRIPTION: [Conversion Tools] Standard imports and helper functions for file conversion.
    5
    # NOTE: Used in "Burglary Risk" and "Ticket Prediction" projects.