Ali Gulez is a skilled Data Scientist with extensive experience in data analysis and application development. At Trainline from August 2017 to May 2019, Ali contributed to agile, cross-functional teams focused on enhancing key performance indicators related to user acquisition, activation, and retention. Prior to this role, Ali served as an Entrepreneur in Residence at Startupbootcamp FinTech, providing consulting and technical support to startups. Academic achievements include a Master's degree in Electrical Engineering with Computer Science from University College London and a Data Science Immersive program at General Assembly. Currently, Ali continues to excel as a Data Scientist at Meta, building on previous projects that included customer behavior analysis and predicting user churn through advanced data methodologies.
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