Amir Jalalkamali
About Amir Jalalkamali
Amir Jalalkamali is a Senior Data Scientist at VGW in Sydney, Australia, specializing in AI and predictive modeling solutions for the water industry. He has extensive experience in risk analytics, fraud detection, and a strong academic background in civil engineering and hydrology.
Work at VGW
Amir Jalalkamali has been employed at VGW as a Senior Data Scientist since 2019. In this role, he focuses on implementing AI and predictive modeling solutions aimed at enhancing operational efficiency within the water industry. His work contributes to the development of innovative strategies that leverage data science to improve processes and outcomes.
Education and Expertise
Amir Jalalkamali holds a Master of Engineering (M.Eng.) in Civil Engineering from Shahid Chamran University of Ahvaz. He also earned a Doctor of Philosophy (PhD) in Hydrology and Water Resources Science from Islamic Azad University, Science and Research Branch. His educational background provides a strong foundation for his expertise in water engineering and data science.
Background
Before joining VGW, Amir Jalalkamali worked at several institutions. He served as a Faculty Member at ACECR-Production Technology Research Institute in Iran for one year, focusing on water engineering. He also held positions as a Researcher and Faculty Member in Hydroinformatics and Water Asset Management Consultant at Islamic Azad University for 11 years. Additionally, he worked as a Consultant at Smart Structures Australia for one year.
Achievements in Data Science
Amir Jalalkamali has developed a keen understanding of risk analytics and fraud detection models through his experiences in the Payment, Trust, and Safety sectors. He actively shares his knowledge within the technical community and seeks continuous learning opportunities in data science and AI, contributing to the advancement of these fields.
Professional Development
Amir Jalalkamali possesses strong business acumen, which enables him to utilize data effectively to address various business challenges. His commitment to professional growth is evident in his active engagement with the technical community and his pursuit of ongoing education in data science and artificial intelligence.