About

Meysam Torkaman is a highly skilled Machine Learning Engineer with over 12 years of experience in the field. Currently employed at Profusion, Meysam has worked his way up from a Data Analyst to his current position, where he is responsible for developing and implementing machine learning models for various clients. Meysam's expertise lies in developing propensity models, recommendation engines, and customers engagement analysis and clustering models. His past experience includes working on a large customer database of over 1 million customers, where he deployed feature engineering techniques to predict future unsubscribe rates. He has also developed a high-performance recommendation engine for a luxury car company and implemented a new database semantic layer in SQL, which reduced ETL time by approximately 35%. In addition to his technical skills, Meysam has experience in back-end data modeling and front-end designing of BI dashboards using Sisense. He has also analyzed campaigns day and time, marketing performance, customer engagement, and customers' survey in the past. Meysam is proficient in various programming languages, including Python and R, and has experience in web mining and utilizing APIs. Meysam holds a BSc in Business Studies from Ulster University and a degree in Computer Software Engineering from the University of Sari in Iran. With his extensive experience and expertise in machine learning, data science, and research, Meysam is a valuable asset to any team.