Stephen keyen

I am a Machine Learning Engineer and Data Analyst with a strong focus on translating complex data into actionable insights and production-ready machine learning systems. I hold a Master’s degree in Information Systems and Technology (Data Science & Analytics) from Claremont Graduate University (May 2025), where I developed a solid foundation in statistical analysis, predictive modeling, and applied machine learning. Currently, I am an AI Fellow at Handshake AI, where I analyze step-level reasoning behavior in large language models to identify failure modes and evaluate model reliability. This work has strengthened my ability to assess model performance beyond surface-level metrics and translate analytical findings into practical improvements for real-world ML systems. I have built and deployed data-driven applications that combine structured data analysis, feature engineering, and machine learning to deliver measurable user value. As a Machine Learning Intern at LifeNet Health, I engineered high-impact features from healthcare datasets and delivered interactive analytical dashboards that improved stakeholder decision-making speed by approximately 40%. My technical skill set includes Python (Pandas, NumPy, TensorFlow, PyTorch), SQL, machine learning frameworks, and cloud-based deployment using AWS, Azure, Docker, Flask, and Streamlit. I bring a collaborative, systems-oriented mindset and strong communication skills, enabling me to bridge technical modeling work with business and operational needs—an essential capability for industry analyst and ML engineering roles.

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