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Chris Grabowski is a seasoned data science professional with a robust background in machine learning and software engineering. Currently serving as a Senior Data Scientist at tvScientific, Chris previously held the position of Principal Machine Learning Engineer at FM Global, where significant contributions included streamlining the ETL and deployment of XGBoost models and optimizing object detection models from aerial imagery. Experience as a Senior Data Scientist at Sift Media involved enhancing model performance, while prior roles included a Machine Learning Researcher at IAVO Research & Scientific, where Chris focused on semantic segmentation and cross-domain matching. Earlier work as a Software Engineer at the Software Engineering Institute at Carnegie Mellon University and an internship at Boeing underscore strong technical skills. Chris's journey began as a Professional Gamer, leading a competitive team and collaborating with game developers. Chris holds a Bachelor’s Degree in Mathematics and Computer Science from Carnegie Mellon University.