Summary
Nancy Méndez is a data analyst and software engineer with 11 years of experience building production-ready data platforms, ML pipelines, and visualizations across healthcare, nonprofit, and industrial domains. Trained in astronomy and economics, she pairs rigorous research experience and publications with practical skills in Python, Java, Angular, serverless architectures, and Google Cloud Platform. At UNICEF Nederland she introduced ML lifecycles and fine-tuned Llama 3 for marketing automation, and at Philips she contributed to federated learning and novel deep models within a distributed research program. She has led small teams, hired and mentored colleagues, and designed target data platforms to improve data quality and reliability. Comfortable moving between research-grade code and deployed systems, she brings a polymath’s curiosity—equally at home matching astronomical catalogs with k-d trees as orchestrating containerized clinical-data pipelines.
11 years of coding experience
9 years of employment as a software developer
High School, High School at Wesleyan Academy
Master of Science Astronomy, Master of Science Astronomy at University of Groningen
Bachelor of Science Physics, Bachelor of Science Physics at University of Puerto Rico, Río Piedras
Spanish, English, Dutch