A Mechanical Engineering graduate with a robust passion for data science and machine learning engineering. I embarked on my Python programming journey in early 2020 and have since been deeply involved in the field. As a current master's candidate, my research is centered on domain adaptation in deep learning models. My primary focus is on developing cutting-edge solutions for predictive maintenance, leveraging vibration data analytics.

• Programming Languages: Proficient in Python
• Data Management: Skilled in SQL for database handling
• Development Tools: Experienced in using Docker for containerization
• Data Science Libraries: Advanced knowledge of Pandas, Numpy, Scikit-learn, and Pytorch (learning)

I am always open to discussing new opportunities and innovative ideas in the field of machine learning and data science. Connect with me on LinkedIn.