Summary
Danielle Baghernejad is a Sr. Principal Data Scientist with nine years of experience turning complex datasets into actionable business insights, currently leading data science efforts at Itron. She specializes in predictive modeling, natural language processing, and large-scale data mining, with a track record of building custom algorithms for multi-label classification, outlier detection, and root-cause variable identification. Danielle has delivered production-facing solutions across industries—from telecom analytics at AT&T to BI adoption and Looker integrations—bridging technical rigor with business impact. Her background in mathematics and hands-on experience deploying models in platforms like DataIku and DataRobot give her a strong foundation for robust, interpretable solutions. Based in Bellingham, WA, she also brings entrepreneurial experience running an e-commerce business, which informs her practical, metrics-driven approach to problem solving.
9 years of coding experience
12 years of employment as a software developer
Master of Science (M.S.) Mathematics, Master of Science (M.S.) Mathematics at Middle Tennessee State University (MTSU)
BS Mathematics and Computer Science, BS Mathematics and Computer Science at University of Tennessee, Knoxville
Japanese