Summary
Mohammed Hyder is a data analyst with eight years of interdisciplinary experience bridging computer science, mathematics, and cognitive science, based in Austin, Texas. He has applied SQL, Python, and PowerBI to clinical and research settings—analyzing sensitive diagnostic data for autism assessments, building interactive dashboards, and tracking longitudinal health and academic outcomes. His background includes biomedical image analysis, ML-driven patient stratification, and real-time emotion classification research, showing comfort moving between applied analytics and experimental ML. Mohammed’s practical systems work extends to satellite ground-station software and embedded communications, revealing a hands-on hardware-to-software fluency not obvious from his title alone. He is intellectually curious about human cognition, the ethics of AI, and narrative writing, which informs a thoughtful, human-centered approach to data work.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science Philosophy Mathematics, Bachelor of Science - BS Computer Science Philosophy Mathematics at Rhodes College