As a Data Scientist with almost 4 years of experience, I build machine learning models, data pipelines, and cloud-based analytics solutions, including computer vision pipelines that improved data extraction accuracy from 70% to 90%, and dashboards that turn raw data into business decisions (Python, AWS, Azure).
This matters for AI automation work because anyone can plug into an AI tool. The real value is understanding the data, designing around business logic, and knowing how to debug and improve the technical implementation when something doesn't work. That's what lets me build end to end solutions, not just isolated automations. I design AI agents and automated workflows using Claude, OpenClaw, Make, and n8n, including an 11-stage B2B order processing system covering document extraction, supplier sourcing, invoicing, and export compliance, all built on solid data science fundamentals.
Fast learner, detail-oriented, and reliable under deadline pressure.