Hosein Mohanna

Hosein Mohanna is a talented data scientist with a strong foundation in software engineering, accumulating over 3 years of professional experience. His passion lies in crafting advanced analytical strategies and developing robust pipelines integrating machine learning and artificial intelligence models into real-time systems. He specializes in time series analysis, forecasting, particularly in predictive maintenance, and executing anomaly detection techniques at scale.

Hosein Mohanna's academic journey is marked by notable achievements. He pursued his Master's 2 degree in Data Science with a focus on Informatics at the prestigious National School of Computer Science and Applied Mathematics of Grenoble. Prior to this, he excelled in his Master's 1 degree in Computer Software Engineering at the University of Malaya, where he attained an exceptional CGPA of 3.93, ranking in the top 10% of his cohort. He also holds a Bachelor of Science in Computer Software Engineering from The University of Nottingham Malaysia Campus, graduating with first-class honors and an impressive average of 75%, equivalent to a GPA of 4 and ranking in the top 10%.

In terms of professional experience, Hosein has held pivotal roles in various organizations. He currently serves as a Data Scientist at EasyVista, bringing his expertise to the forefront in driving data-driven insights and solutions. Previously, he made significant contributions as a Data Scientist at ServiceNav, an EasyVista Solution, and also at Odit-e. His diverse experience includes leadership positions such as Software Developer Team Lead at Digital Forest Sdn Bhd and Research and Development Project Manager at JobFits. Additionally, Hosein has showcased his technical skills by serving as an Android Developer in a freelance capacity and as a Software Tester at Garena. Furthermore, he leveraged his multimedia expertise as the Team Director at IEEE UNMC student branch.

Hosein Mohanna stands out as a versatile professional with a multidisciplinary background in data science and software engineering. His academic accomplishments and hands-on experience underscore his proficiency in leveraging ML/AI models for impactful real-time applications, making him a valuable asset in the tech industry.