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Mohamed A. is a Data Scientist at Phiture since April 2022, specializing in user behavior analysis, user segmentation, and predictive modeling for leading video streaming platforms. Notable achievements include building a simulation for Apple Search Ads budget allocation, developing a Reinforcement Learning model for keyword bidding, and deploying a Random Forest regressor for campaign cost-per-install predictions. Prior experience includes roles as a Data Analyst at various organizations, where insights into user retention and CRM performance were generated, and as a Teaching Assistant in Data Science. Mohamed earned a Master of Science in Civil Engineering and a Bachelor of Science in Civil Engineering from Technische Universität Berlin, complemented by a Data Science program at Le Wagon.