Majid Fekri
About Majid Fekri
Majid Fekri is a Lead Data Scientist with over 12 years of experience in data science. He has a Ph.D. in Atmospheric and Oceanic Sciences from McGill University and has held various roles in notable organizations, including The Weather Network and SOTI.
Work at SOTI
Majid Fekri currently holds the position of Lead Data Scientist at SOTI, a role he has occupied since 2022. In this capacity, he applies his extensive knowledge in data science to enhance the company's data-driven decision-making processes. Prior to this role, he served as a Senior Data Scientist at SOTI from 2021 to 2022. His work at SOTI focuses on leveraging data analytics to improve operational efficiency and drive business outcomes.
Education and Expertise
Majid Fekri has a strong educational background in engineering and atmospheric sciences. He earned a Doctor of Philosophy (Ph.D.) in Atmospheric and Oceanic Sciences from McGill University, completing his studies from 2008 to 2015. He also holds a Master's degree in Mechanical Engineering from Polytechnique Montréal, which he obtained in 2008, and a Bachelor's degree in Mechanical Engineering from the University of Tehran, completed in 2006. His expertise lies in transforming complex data into actionable insights that contribute to business results.
Background
Majid Fekri has over 12 years of experience in the field of data science. His career includes roles at various organizations, starting as a Scientific Programmer at The Weather Network from 2012 to 2017, followed by a position as Data Scientist at Pelmorex Corp from 2017 to 2018. He also worked as a Senior Data Scientist at Rogers Communications from 2019 to 2021 and as a Data Scientist at Prodigy Game from 2018 to 2019. In 2019, he founded The Best Guess Weather, operating in the Greater Toronto Area.
Achievements
Throughout his career, Majid Fekri has demonstrated a unique blend of technical expertise, leadership skills, and business mindfulness. His ability to analyze and interpret complex data sets has led to significant contributions in various roles. His work has consistently focused on delivering actionable insights that drive business performance, showcasing his commitment to leveraging data science for practical applications.