Madeleine Willson

WORK HISTORY

EDUCATION

ABOUT MADELEINE WILLSON

I am a data scientist who builds scalable machine learning systems that deliver measurable business value. My work spans end to end model development from feature engineering and model training to deployment, monitoring, and optimization with a focus on translating complex AI capabilities into clear business outcomes.At Penn State I developed a passion for both learning and teaching. I paired a business foundation with minors in applied economics and psychological science, giving me a multidisciplinary lens for understanding user behavior, incentives, and decision making. As president of Nittany Data Labs I helped grow a community of more than one hundred students and led hands on projects involving predictive modeling, natural language processing, and data storytelling. My honors thesis explored the digital attention economy using statistical modeling and behavioral data analysis.My professional experience includes internships at Deloitte, Merck, and the USDA where I contributed to cybersecurity strategy, IT modernization, and data visualization initiatives. I supported projects ranging from identity access management improvements to operating an AWS based data lake. My technical toolkit includes Python, R, SQL, TensorFlow, PyTorch, Power BI, and experience with cloud native machine learning workflows.Today I serve as a Power and Cloud Customer Success Engineer at IBM, helping clients adopt AI ready infrastructure and accelerate workloads such as large language models, retrieval augmented generation, and high performance analytics on IBM Power. I also partner with teams to streamline MLOps practices and ensure models are deployed, governed, and scaled effectively. Alongside this work I am completing my master’s degree in applied data science at USC.What differentiates me is my ability to connect technical depth with business clarity. I break complex problems into actionable steps, communicate the reason behind every recommendation, and deliver insights that drive meaningful outcomes. I am energized by work at the intersection of AI, strategy, and impact.If you are exploring data driven transformation or want to exchange ideas on applied machine learning, I would be glad to connect.