Lars Bjålie

Lars Bjålie's work experience includes multiple roles in the field of data science and analytics. Lars currently works at Arundo Analytics as a Senior Data Scientist, where they develop analytical solutions for the chemical industry to optimize operations, focusing on reducing equipment wear and electricity costs. In this role, they are responsible for the entire data science model development and deployment lifecycle, taking on additional product manager responsibilities.

Prior to their current role, Lars worked at BearingPoint as a Data Science Architect. Here, they served as the Data Science Competency Manager for BearingPoint Norway, overseeing team strategy, competency programs, common tooling, and mentorship. Lars also worked as the lead data scientist within smart/predictive maintenance for a national railway infrastructure operator. In this capacity, they developed and deployed rule/statistics/ML-based anomaly and fault detectors for continuous component health monitoring, collaborating closely with domain experts. Lars was also part of a 15-person team that developed in Azure with DevOps principles.

Before joining BearingPoint, Lars held various positions, including Senior Data Scientist and Data Engineer. In these roles, they worked on projects such as developing customer segments and prediction models for an alliance of Norwegian savings banks, implementing a Master Data Management system for a physical security company to improve data quality and consistency, and improving churn-prediction models for a media company.

Overall, Lars Bjålie has gained extensive experience in data science and analytics, working on projects spanning multiple industries and demonstrating expertise in model development, deployment, and optimization.

Lars Bjålie completed their education in a chronological order. Lars first attended the University of Illinois Urbana-Champaign from 2008 to 2011, where they obtained a Bachelor of Science (B.Sc.) degree in Materials Science. Following this, Lars pursued a PhD in Materials Science at UC Santa Barbara, which they completed from 2011 to 2016. Concurrently, they also enrolled in a Graduate Program in Management Practice at UC Santa Barbara from 2014 to 2016. Lars additionally obtained two additional certifications: "Convolutional Neural Networks in TensorFlow" from Coursera in March 2021 and "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" from Coursera in January 2021.