Roman Buckle

I'm Roman Buckle, a highly skilled Data Scientist with a strong background in machine learning and deep learning. I have expertise in programming languages like Python, TensorFlow, and more. In my role at Hitachi Rail Europe, I've successfully prevented faults, optimized maintenance processes, and implemented cost-saving strategies. I also have experience in hardware design and AWS migration.

I've been involved in exciting projects, such as robotic simulations and co-authoring an IEEE paper. My academic background includes an M.Eng in Electronics Engineering, where I gained proficiency in computer vision, advanced machine learning, and reinforcement learning.

I'm known for my abilities in cross-functional collaboration, leadership, and mentorship. I'm passionate about contributing to the data science field in Singapore and can be reached via email or Whatsapp.

In my professional experience, I have been a Data Scientist at Hitachi Rail Europe since August 2020. In this role, I've applied data science, machine learning, and statistical analysis methods to extract valuable insights. I've successfully prevented faults, optimized maintenance processes, and implemented cost-saving measures, resulting in significant yearly savings and enhanced equipment dependability. Additionally, I've collaborated on proactive maintenance projects, built predictive algorithms, and developed condition monitoring solutions, all contributing to substantial cost reductions and improved reliability.

During my internship at Multiple Access Communications Ltd in 2019, I designed a low-power hardware module for parcel tracking, migrated the system to AWS, and developed a user-friendly backend, showcasing my technical skills and adaptability.

Overall, my professional journey has been marked by a strong focus on data-driven solutions, cost savings, and continuous improvement in various technical and collaborative roles.

At the University of Southampton, I pursued an M.Eng in Electronics Engineering with a specialization in Artificial Intelligence. During this program, I acquired valuable knowledge and skills in computer vision, deep learning, and advanced machine learning techniques. I also delved into reinforcement and online learning methods, gaining a solid foundation in pattern recognition and machine learning concepts.

One of the notable highlights of my education was my involvement in a group design project where I contributed to the development of a low-cost security management module for IoT devices. Additionally, I pursued language qualifications in Japanese, demonstrating my dedication to acquiring diverse skills and knowledge.

Overall, my education at the University of Southampton provided me with a comprehensive understanding of electronics engineering with a strong focus on artificial intelligence, equipping me with the expertise needed to excel in the field of data science.