Binyam Sisay

Data Scientist and ML Engineer with 5+ years of experience building production-grade machine learning systems and scalable data pipelines across diverse industries including adtech, healthcare, AI platforms, and enterprise software.

Currently optimizing real-time bidding systems and revenue algorithms, I've delivered measurable impact: increased daily revenue by $10K+, reduced infrastructure costs by 91%, and improved system performance metrics by up to 40%. My expertise spans the full ML lifecycle—from data engineering and model development to deployment and monitoring.

Technical strengths include Python, SQL, Spark, Airflow, PyTorch, and cloud platforms (AWS, GCP, Azure). I specialize in building high-throughput data pipelines, NLP systems, and real-time analytics solutions that handle millions of daily operations while maintaining sub-50ms latency.

Notable achievements include developing mortality prediction models with 97.8% accuracy for healthcare applications, accelerating campaign creation by 80% through intelligent automation, and architecting microservices that support 4M+ daily active users.

I hold a Master's in Computer Science from Sofia University (3.9 GPA) and a Bachelor's in Computer Engineering from Addis Ababa University (3.7 GPA). I'm passionate about leveraging data science to solve complex business problems and create systems that deliver tangible value.

Open to opportunities in data science, ML engineering, and analytics leadership roles where I can drive innovation and business growth through advanced analytics and intelligent systems.