About

Yacine MAZARI is a highly skilled Data Scientist and Machine Learning Engineer with over 12 years of relevant experience in the industry. He is currently working at Indeed, where he is responsible for the development of a recommender system that suggests jobs to job-seekers based on their skills and interests. Yacine has a keen interest in Recommender Systems, Machine Learning, Deep Learning, Artificial Intelligence, Natural Language Processing, Applied Science, Research and Development, AB Testing and Experimentation, Causality and Causal Inference, and Reinforcement Learning. Yacine's expertise lies in designing and implementing algorithms such as Content-based recommendations, Collaborative filtering, Machine learning, and Data-mining. He has hands-on experience working with technologies such as Java, Scala, Hadoop, Apache Spark, and Pig. Yacine has also worked as a Web Application Engineer at Rakuten in the past. Yacine holds a Master's Degree in Machine Learning and Computer Vision from the University of Tokyo, which has equipped him with the necessary skills to excel in his current role. He is a highly motivated individual who is always looking for ways to improve his skills and knowledge. Yacine is an excellent communicator and a team player, which makes him an asset to any team he works with. In addition to his technical skills, Yacine is also proficient in research and analysis. He has a deep understanding of AB Testing and Experimentation, Causality and Causal Inference, and Reinforcement Learning. Yacine's passion for his work and his ability to stay up-to-date with the latest industry trends and technologies make him an invaluable member of any team. Overall, Yacine MAZARI is a highly skilled Data Scientist and Machine Learning Engineer with a passion for Recommender Systems, Machine Learning, and Artificial Intelligence. He has a proven track record of delivering high-quality work and is always looking for ways to improve his skills and knowledge.