About

Samuel Rooney is a highly skilled and experienced data scientist and machine learning engineer, currently working at IBM. With almost a decade of experience in the field, he has developed a deep understanding of the latest technologies and techniques used in data science and machine learning. Before joining IBM, Samuel worked as a data scientist at MobilityWare, where he was responsible for developing and implementing data-driven solutions to improve business operations. Prior to this, he worked as a GIS specialist and developer at Mobilitie, where he gained extensive experience in geospatial analysis and mapping. Samuel's academic background is equally impressive, having studied at the University of Newcastle in Australia. He holds a Bachelor's degree in Computer Science and a Master's degree in Data Science, both from the University of Newcastle. With his expertise in ML, Data Scientist, and Research Scientist, Samuel is well-equipped to tackle complex data problems and develop innovative solutions. He is highly skilled in data analysis, statistical modeling, and machine learning algorithms, and is proficient in programming languages such as Python and R. Samuel's experience and skills make him a valuable asset to any organization that requires data-driven solutions. He is a proactive problem-solver, with a proven track record of delivering high-quality results on time and within budget. His passion for data science and machine learning is evident in his work, and he is always looking for new and innovative ways to apply his skills to real-world problems.