Your data is a mess, and you don't have time to fix it yourself. I clean it, structure it, and back every fix with evidence — not guesses.

I'm a Computer and Communication Engineering student and freelance data engineer specializing in data cleaning, ETL pipelines, and web scraping. I recently delivered a CRM/contact list cleanup for a client (5-star review, fast turnaround), built a full web scraping pipeline (Python, Scrapy, Docker) for e-commerce data extraction, and cleaned and imputed a 100,000+ row dataset using spatial and statistical methods to fix structural errors.

I also had a bug fix merged into Apache Wayang, a real Apache Software Foundation open-source project — so I'm comfortable working with code that has to actually be correct, not just look right.

Outside of freelance work, I'm currently training in machine learning, computer vision, and NLP. I care about doing careful, evidence-backed work and explaining exactly what I changed and why — no black boxes.

Work Terms

Available most days, response time typically within a few hours. I work primarily in CSV, Excel, and Google Sheets, and I'm comfortable preparing data for SQL databases (PostgreSQL, MySQL). I'll always confirm scope and ask clarifying questions before starting, and provide a summary of what was changed and why with every delivery.

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