About

Mehdi Lebdi is a highly skilled Data Engineer at RBC with over 3 years of relevant experience in the field. He graduated from Drexel University College of Engineering with a Bachelor of Science in Computer Engineering and minors in Computer Science and Finance. He also holds a Master of Science in Computer Science with a specialization in Big Data from Simon Fraser University. Mehdi has a strong background in data engineering, data science, big data, research, and deep learning. He has worked with distributed computing tools for analysis, data mining, and modeling to identify opportunities to drive business values. In his previous role as a Data Scientist at IBM, he designed, developed, and tested a charting recommendation engine that recommends visualizations based on financial data. He also provided hands-on training to build machine learning algorithms ranging from NLP, Clustering, Linear/Non-linear Regression, and Deep Learning. Mehdi earned 15 IBM badges and received IBM Professional Certification in Data Science, showcasing his strong technical and analytical abilities. Apart from his professional experience, Mehdi has worked as a Lab Technician at the Faculty of Arts & Social Sciences at Simon Fraser University. He provided user support and operating services at the French Instructional Computer Lab and assisted faculty members with placement tests, record-keeping, and other projects. Mehdi's technical skills include Data Engineering, Data Scientist, Big Data, Research Scientist, Deep Learning, NLP, test, Javascript, Typescript, and ML. He has a strong educational background, with a Bachelor of Science in Computer Engineering and minors in Computer Science and Finance from Drexel University. He also holds a Master of Science in Computer Science with a specialization in Big Data from Simon Fraser University. Overall, Mehdi is a highly skilled and experienced Data Engineer with a strong background in data engineering, data science, big data, research, and deep learning. His educational background and professional experience make him a valuable asset to any organization in need of data engineering expertise.