2026Public repo
Data Engineering Project
Weather ETL Pipeline
An end-to-end ETL workflow that ingests weather data, transforms it, stores it in PostgreSQL, and runs on schedule through Prefect and Docker.
Data engineer with a product mindset
I build data platforms that turn raw events into trusted, analytics-ready decision systems.
From ETL workflows and orchestration to warehouse-friendly modeling and ML prototypes, I focus on systems that are observable, resilient, and easy to grow.
Featured work3 case studies across ingestion, transformation, and ML workflows
Writing systemMarkdown-powered blog for pipelines, platform thinking, and technical depth
Built for scaleStatic-first publishing stack ready for search traffic and technical content growth
Selected projects
Projects centered on data ingestion, orchestration, and analytics thinking.
Each card gives a fast overview, while the case study page opens the technical details behind the pipeline design, modeling decisions, and operational trade-offs.
2024Public repo
Applied ML Analysis
Census Income Prediction Models
A comparative machine learning project exploring classification, clustering, and neural network approaches on the U.S. Census income dataset.
2024Public repo
Machine Learning Product
Sarcasm Detection App
A machine learning application that classifies text as sarcastic or not sarcastic through an interactive Streamlit experience.
How I work
Built to be readable by hiring teams, collaborators, and search engines.
- Batch and scheduled pipelines that stay observable under load
- Warehouse-ready data models designed for reporting and downstream analytics
- Machine learning projects translated into usable tools with production-minded delivery
Latest writing
A blog setup ready for data engineering articles and long-form thinking.
Building a Portfolio That Scales Beyond a Pretty Homepage
Why a strong engineering portfolio needs case studies, publishing infrastructure, and search-friendly structure.
What a Weather ETL Project Taught Me About Data Engineering
A reflection on using a small but complete ETL build to learn orchestration, observability, and operational thinking.