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Wael Alalwani
Lead - Omnia AI Practice (Financial Crime AI)
Wael Alalwani is a highly skilled consultant specializing in Data Analysis and Data Management with a focus on fighting financial crimes.
He demonstrates strong analytical abilities with a sharp attention to detail, showcasing a self-starting attitude and a drive to gain practical experience.
Passionate about exploring new data technologies and their applications, Wael has a background in designing and implementing data warehousing and business intelligence solutions, as well as working on projects related to Social Network Analysis.
His extensive technological expertise encompasses Python, SAS, Tableau, Neo4j, Hadoop suite, Solr, MongoDB, MySQL, and MS SQL.
Wael Alalwani holds a Master's degree in Computer Science with a specialization in Artificial Intelligence from King Abdullah University of Science and Technology, and a Bachelor's degree in Computer Engineering from King Fahd University of Petroleum & Minerals.
He has held key positions in various organizations, including his current role as the Lead of the Omnia AI Practice (Financial Crime AI) at Deloitte Canada, where he previously served as a Senior Consultant.
His previous roles include Data Specialist at Traction on Demand, Data Management Consultant at WASPHI, Co-Founder at Nasj Analytics, Data Scientist at Al Jazeera Media Network, Data Consultant at Al-Elm Information Security Company, and Software Engineer at nPario.
In addition, Wael Alalwani has experience as a Java Developer and Data Miner at Xceed Ventures, and as a Data Analyst at Al-Elm Information Security Company. He also has a background as a Master's Degree Student and Researcher at KAUST.