I'm a Data Scientist who builds production-ready ML models, MLOps pipelines, and data solutions that drive real-world impact.
Hello! I'm Toan "Thomas" Dao, a Senior Data Scientist who transforms complex data challenges into scalable, production-ready solutions that drive measurable business impact.
With deep expertise in machine learning, MLOps, and data engineering, I've collaborated with industry leaders including Unilever, MoMo, and One Mount to architect ML systems that process millions of data points daily.
My passion extends beyond technical implementation to fostering collaborative environments where data-driven innovation thrives. I believe in mentoring emerging talent and building bridges between technical complexity and business strategy, ensuring that every model deployed creates tangible value for stakeholders and end-users alike.
A showcase of machine learning, MLOps, and data engineering projects that demonstrate technical leadership and measurable business impact.
Open-source PyTorch implementation with 1.4k GitHub stars and academic collaboration.
Enterprise-grade forecasting system improving accuracy by 15% for global supply chain.
Supply chain platform raising service levels to 90% with automated S&OP processes.
Scalable ML pipeline supporting 10+ models with automated lifecycle management.
High-performance engine improving eCPM by 40% and CTR by 60% at MoMo.
Distributed system processing 30M+ events/day with Redis and Pub/Sub architecture.
Marketing collaboration system driving 14% increase in campaign ROI.
I'm always open to discussing new opportunities, interesting projects, or how to make the best data-driven decisions.
Available for remote work globally
Ho Chi Minh City, VietnamAvailable for freelance projects and full-time opportunities
Response time: Usually within 24 hours