Kaung Khant

Highly analytical and data-driven Engineer with First Class Honors in Robotics, passionate about transforming complex data into actionable insights and building intelligent systems. Proficient in Python (Pandas, Scikit-learn, Matplotlib), SQL (PostgreSQL), and Tableau for robust data analysis, cleaning, feature engineering, and predictive modeling (including RFM & Association Rules). Strong expertise in Machine Learning, Deep Learning, and Computer Vision (OpenCV, YOLO), complemented by practical experience in Robotics, Autonomous Systems, and Embedded Solutions (ROS).

Eager to apply interdisciplinary technical expertise and problem-solving skills to cutting-edge challenges in data, AI, and automation.

I’m a recent graduated Robotics Engineering student with strong skills in Python, machine learning, and robotics systems. Most of my experience comes from coursework and personal projects where I’ve built systems like a driver fatigue detector, house price predictor, customer recommendation engine, and autonomous robots using ROS. I’m highly skilled in data analysis, predictive modeling, and real-time robotics programming.

I graduated with a BEng (Hons) in Robotics Engineering from the University of the West of England with First Class Honors in August 2025. My degree focused on areas like Robotics, Computer Vision, Machine Learning, Deep Learning, and ROS-based system integration. Throughout my studies, I completed hands-on projects involving Python, embedded systems, and real-time robotic control, which gave me strong practical experience in applying advanced technical concepts.