Ryan Mardani

I bring a unique blend of industry and academic experience to the "Machine Learning in Geoscience" course. As a Data Scientist at DataEnergy, I have managed end-to-end data science projects, enhanced AI models, and leveraged cloud platforms like AWS and Azure. My practical experience includes developing high-accuracy machine learning models, creating data pipelines, and automating deep networks.

As an instructor at SAIT, Calgary, I have delivered courses on predictive modeling, Python programming, and business intelligence. My academic role has allowed me to integrate the latest IT trends with practical insights, ensuring a well-rounded educational experience.

In my role as a Geo-data Scientist at SINOPEC, I applied advanced machine-learning techniques to solve complex geoscientific problems, such as predicting well logs and improving seismic wave velocity. My practical expertise in geoscience data analysis is complemented by my passion for sharing knowledge through blogs, GitHub, and conferences.

This course is developed using my practical experience and AI tools, ensuring that participants gain hands-on, industry-relevant skills in machine learning for geoscience. Holding an IBM Data Science Professional Certificate and a Master of Science in Geophysics from the University of Calgary, I am well-equipped to guide geoscientists in leveraging machine learning to advance their field.