Los Angeles, CA

I’m a data engineer and analytics engineer focused on building production-minded data systems, end-to-end ML pipelines, and analytics workflows that solve real problems. My background bridges healthcare operations and machine learning, allowing me to design solutions that are technically sound and practically impactful.

I value clarity, reproducibility, and engineering discipline. My goal is to deliver work that feels intentionally crafted and mid-level.

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

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

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

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

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

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

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.

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