Ramy Hammam
About Ramy Hammam
Ramy Hammam is a Senior Machine Learning Engineer and Data Scientist at TELUS in Montreal, Quebec, Canada, with a diverse background in data science, finance, and business strategy.
Current Position at TELUS
Ramy Hammam serves as a Senior Machine Learning Engineer and Data Scientist at TELUS in Montreal, Quebec, Canada. In this role, he is likely involved in leveraging machine learning techniques to optimize telecommunications services and enhance customer experience through data-driven approaches.
Previous Role at KPMG Canada
Prior to his current position, Ramy Hammam worked at KPMG Canada as a Senior Consultant in Data Science for 10 months in 2021. Based in Montreal, Quebec, he applied his data science expertise to provide consulting services, helping clients make informed decisions by analyzing and interpreting complex data sets.
Experience at Rogers Communications
In 2020, Ramy Hammam joined Rogers Communications as a Senior Data Scientist, a role he held for 6 months in Toronto, Ontario. During his tenure, he focused on utilizing advanced data science methodologies to drive business insights and improve operational efficiency.
Role at Pratt & Whitney Canada
From 2019 to 2020, Ramy Hammam was a Consultant Team Lead in Data Science and Business Strategy at Pratt & Whitney Canada in Montreal. He led a consulting team, working on projects that combined data science with business strategy to foster organizational growth and innovation.
Educational Background
Ramy Hammam holds a Master’s degree in Management Analytics from McGill University's Desautels Faculty of Management, completed between 2019 and 2020. Prior to that, he earned a Bachelor of Science in Finance from Arizona State University (2015-2017) and another Bachelor of Science in Finance from Saint Louis University - Madrid Campus (2013-2015).
Work History in Egypt
Earlier in his career, Ramy Hammam worked in various roles in Cairo, Egypt, including at CIB Egypt as a Consumer & Digital Banking EPM Data Analyst and at EFG Hermes in Investment Banking. He also gained experience at PwC as an Advisory Consultant. These roles provided a strong foundation in financial analysis and digital banking.
Open-Source Contributions on GitHub
Ramy Hammam has also contributed to open-source projects on GitHub, showcasing his expertise in machine learning and data science. His contributions highlight his commitment to the tech community and his proficiency in coding and algorithm development.
Diverse International Educational Background
Ramy Hammam has a diverse educational background, having studied in Canada, the United States, and Spain. This international exposure has equipped him with a broad perspective and adaptability to various academic and professional environments.