Jung Hwan Lee

I am Jung Hwan Lee, a recent graduate from the University of Washington with a Bachelor of Science in Informatics, specializing in Data Science. I am passionate about solving complex problems through data-driven insights and cutting-edge machine learning technologies. My expertise lies in developing predictive models, optimizing data workflows, and crafting interactive visualizations to make data actionable.

With hands-on experience as an R&D Intern at Synopsys, I designed and implemented AI image recognition systems using TensorFlow, achieving a 91% validation accuracy while improving data throughput by 30%. Additionally, as an HR Data Analyst Intern at C&M Robotics, I streamlined operational processes by automating report generation, reducing manual efforts by 85%.

I thrive in collaborative environments where I can contribute innovative ideas and leverage my technical skills in Python, SQL, and machine learning to drive impactful solutions. Whether it's leading database design projects, developing risk prediction systems, or crafting user-focused applications, I am dedicated to delivering excellence and creating value through technology.

In my free time, I enjoy exploring new advancements in AI, designing creative projects, and applying machine learning concepts to real-world challenges. Let’s connect to discuss how I can help you turn data into impactful decisions!

I bring hands-on experience in data analysis, machine learning, and database management. As an R&D Intern at Synopsys, I developed an AI-based image recognition system using TensorFlow, achieving a validation accuracy of 91% and improving data processing efficiency by 30%. At C&M Robotics, I streamlined HR analytics by automating data validation and converting over 200 reports, reducing manual processing time by 85%. I have also led teams in designing scalable MS SQL databases, managing high-volume operations, and ensuring operational stability through robust testing and error handling.

I hold a Bachelor of Science in Informatics with a focus on Data Science from the University of Washington, Seattle. My coursework emphasized machine learning, data modeling, and ethical data practices, equipping me with expertise in Python, SQL, and predictive analytics.