Omar Taha
About Omar Taha
Omar Taha is a Data Scientist with extensive experience in developing algorithms for fraud detection and customer analytics. He currently works at TRM Labs and has a strong background in machine learning and data analysis, having previously held positions at Faves and Synapse Analytics.
Work at TRM Labs
Omar Taha has been employed as a Data Scientist at TRM Labs since 2022. In this role, he focuses on developing algorithms and data models that enhance fraud detection capabilities within blockchain data. His contributions aim to improve the accuracy and efficiency of financial crime detection, aligning with TRM Labs' mission to provide advanced analytics for cryptocurrency transactions.
Previous Experience in Data Science
Prior to his current position, Omar worked as a Data Scientist at Faves from 2021 to 2022, where he contributed remotely while based in the San Francisco Bay Area. Before that, he spent two years at Synapse Analytics in Cairo, Egypt, from 2019 to 2021, where he developed various data-driven solutions. His earlier experience includes a role as a Machine Learning Engineer at Synapse Analytics from 2018 to 2019.
Education and Expertise
Omar Taha holds a Master of Science degree in Computer Engineering from Ain Shams University, which he completed between 2020 and 2022. He also earned a Bachelor's degree in Electronics and Communications Engineering from Misr International University from 2013 to 2018. Additionally, he obtained a diploma in Artificial Intelligence from Microsoft in 2018, further enhancing his expertise in data science and machine learning.
Achievements in Data Science
Omar has developed algorithms that significantly improved fraud detection rates, achieving a 30% increase in effectiveness. He implemented a one-versus-rest technique for topic prediction with an 8% error rate and built end-to-end models for user feed ranking and content recommendation. His work also includes creating graph algorithms that enhanced financial crime detection by 10% and optimizing dispatch systems for ride-hailing services, reducing customer distance by 30%.
Contributions to Analytics and Machine Learning
Omar has contributed to the field of analytics through various projects, including increasing customer retention rates by 30% for a drug delivery company and achieving a sales prediction error rate of 7% for a multinational pharmaceutical company. He also designed a bot using word embeddings to generate relevant comments on user posts, showcasing his ability to apply machine learning techniques in practical applications.