Summary
John Hazard is an educator-turned-data-science practitioner with eight years of experience designing and delivering immersive, outcomes-focused training in data science and analytics. Currently a Teacher Resident at the University at Buffalo, he previously guided over 500 students through General Assembly bootcamps, building curricula that blend practical tools (Python, SQL, Tableau) with advanced ML topics like NLP and time series. He’s known for breaking complex problems into actionable roadmaps for learners and clients, and his students rate his instruction consistently high for clarity and real-world relevance. With a background in English and philosophy and early roles as a technical editor and instructor, he brings uncommon strengths in communication, critical thinking, and ethical data stewardship. He iterates on data narratives—questioning assumptions and emphasizing storytelling—so technical models translate into stakeholder impact. Based in Buffalo, NY, John combines classroom-tested pedagogy with hands-on ML experience to help practitioners and organizations turn data into decisions.
8 years of coding experience
1 year of employment as a software developer
Data Science Immersive, Data Science, Data Science Immersive, Data Science at General Assembly
English Language and Literature, General, English Language and Literature, General at Florida Atlantic University
Bachelor of Arts - BA, Philosophy, Bachelor of Arts - BA, Philosophy at State University of New York at Fredonia