Mary Lenk is a Data Scientist II at Cleveland Clinic with nine years of engineering and applied research experience, leveraging a master’s in electrical engineering and deep expertise in signal processing using Python and MATLAB to advance healthcare analytics. She transitioned from engineering research at UT Austin and academic research at Ohio State into applied data science, bringing a strong experimental mindset to production problems. Mary is skilled at turning complex sensor and signal data into actionable insights that support clinical research and patient care initiatives. Her background in control systems and hardware development gives her an uncommon systems-level perspective for data projects, helping bridge algorithms and deployed solutions. Driven by discovery and continuous learning, she combines rigorous technical foundations with a practical focus on impactful, reproducible results.
9 years of coding experience
5 years of employment as a software developer
Master’s Degree, Electrical Engineering, Master’s Degree, Electrical Engineering at The Ohio State University
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