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JulianCKelly/README.md

Julian Charlan Kelly

Analytics Engineer / Data Engineer building analytics-ready healthcare datasets

Los Angeles, CA

About Me

Analytics Engineer / Data Engineer building analytics-ready healthcare datasets and automation-first SQL/Python pipelines.

Current areas of focus:

  • Modular, production-style data pipelines
  • Healthcare ML with emphasis on recall and clinical safety
  • SQL + Python analytics engineering patterns
  • Strengthening my technical stack through advanced certifications

Core Skills

Data Engineering & Analytics Engineering

  • Python, SQL, ETL/ELT workflows, data modeling
  • PostgreSQL, SQLite, MongoDB, BigQuery
  • Pipeline architecture, reproducible project structures
  • CLI tools, Flask APIs, joblib model persistence

Machine Learning

  • Supervised ML (classification, risk prediction)
  • Hyperparameter tuning (GridSearchCV)
  • Evaluation: AUC, recall, precision/recall prioritization
  • Visualization + interpretability (feature importance, thresholding)

Visualization & Reporting

  • Matplotlib, Seaborn
  • Tableau
  • Technical writing and structured documentation

Featured Project

Healthcare Analytics — End-to-End Diabetes Risk Prediction Pipeline

A modular analytics engineering workflow built to simulate a real-world healthcare ML system.

Highlights:

  • Full pipeline: data ingestion → cleaning → modeling → evaluation
  • Recall-optimized RandomForest model (clinical safety focused)
  • main.py CLI for training and prediction
  • Saved model artifacts, standardized reports, and visualizations
  • Professional repo structure (src/, data/, models/, reports/)

Repository:
https://github.com/JulianCKelly/healthcare-analytics

Additional Projects

Air Quality Cloud Dashboard (Flask + OpenAQ API)

A Flask web app providing real-time PM2.5 data from OpenAQ with persistent storage and refresh logic.
Repo: https://github.com/JulianCKelly/air-quality-cloud-app

SQL Portfolio — Northwind Queries

Structured SQL exercises demonstrating joins, aggregations, CTEs, and analytical reasoning.
Repo: https://github.com/JulianCKelly/Northwind

Certifications (In Progress)

  • Google Advanced Data Analytics
  • IBM Data Engineering
  • Tableau Data Analyst

What I’m Working Toward

I’m pursuing roles in:

  • Analytics Engineering
  • Data Engineering
  • ML Engineering (applied / pipeline-focused)

I want to contribute to teams building data-driven healthcare solutions, cloud analytics pipelines, or ML-powered products while continuing to grow my engineering depth.

Contact

Location: Los Angeles, CA
LinkedIn: https://www.linkedin.com/in/juliancharlankelly/

Pinned Loading

  1. healthcare-analytics healthcare-analytics Public template

    End-to-end healthcare ML workflow featuring data ingestion, DQA procedures, feature engineering, RandomForest modeling, and accuracy/recall optimization. Designed to simulate a production-ready ana…

    Jupyter Notebook 1

  2. steph-shot-predictor steph-shot-predictor Public

    The goal of this Kaggle challenge is to develop a model that can accurately predict whether a given shot attempted by Steph Curry will be successful or not.

    Jupyter Notebook 1

  3. air-quality-cloud-app air-quality-cloud-app Public

    Air Quality in the Cloud is a Flask-powered web app displaying real-time air quality data from the Open AQ API with filtering capabilities.

    Python 1