Summary
Kathleen Lara-murray is a Senior Data Scientist with six years of experience building ML and MLOps solutions, currently contributing to data science at Apple in Boston. She has driven high-impact, production-grade projects across retail and healthcare—most notably an Rx demand forecasting model and decentralized inventory allocation algorithms at CVS that targeted tens of millions in cost reductions. Skilled in NLP, deep learning, optimization, and scalable ETL automation, she blends rigorous statistical training (MS Business Statistics) with hands-on engineering in Python and R. Kathleen’s background spans consumer insights and product analytics, giving her a rare combination of business-facing storytelling and systems-level model deployment expertise. She consistently focuses on measurable operational gains, designing solutions that improve accuracy, efficiency, and decision-making at scale.
6 years of coding experience
6 years of employment as a software developer
Master of Science - MS Business Statistics, Master of Science - MS Business Statistics at Hult International Business School
Bachelor's Degree Information Technology, Bachelor's Degree Information Technology at Bicol University
English, Filipino