Yusuf Bayazid
About Yusuf Bayazid
Yusuf Bayazid is a Data Analyst and Engineer at Handl Health, where he has worked since 2024. He holds a Bachelor of Science in Data Science and has a strong background in robotics and mechatronics engineering.
Work at Handl Health
Yusuf Bayazid serves as a Data Analyst & Engineer at Handl Health, a position he has held since 2024. In this role, he focuses on utilizing data to uncover insights and address complex challenges. His work involves applying analytical techniques and engineering principles to enhance the company's data-driven decision-making processes.
Education and Expertise
Yusuf Bayazid has a strong educational background in data science and engineering. He is currently pursuing a Bachelor of Science in Data Science at IU International University of Applied Sciences, expected to complete in 2025. He also holds a Bachelor's degree in Robotics and Mechatronics Engineering from Monash University Malaysia, which he completed in 2023. Additionally, he earned a Nanodegree in Data Analysis from Udacity in 2023.
Background
Yusuf Bayazid's academic journey spans multiple disciplines, including data science and engineering. He studied Robotics and Mechatronics Engineering for three years at Monash University Malaysia before transitioning to data science. His commitment to continuous learning is evident in his pursuit of additional qualifications, such as the Nanodegree in Data Analysis from Udacity.
Projects and Technical Skills
Yusuf Bayazid developed a Habit Tracking App utilizing Python with SQL integration. This project demonstrates his ability to apply technical skills in a practical context, showcasing his proficiency in programming and database management. His work reflects a focus on leveraging technology to create solutions that address user needs.
Passion for Data and Innovation
Yusuf Bayazid is passionate about leveraging data to unlock insights and drive innovation. His enthusiasm for creativity and continuous learning fuels his approach to solving complex challenges in the field of data analysis and engineering.