ABOUT ME

I’m an experienced equipment engineer transitioning into the dynamic fields of data analysis and artificial intelligence training. With a strong foundation in managing and optimizing semiconductor manufacturing processes, I’ve cultivated a data-driven mindset and honed my skills in Python, SQL, and statistical analysis to diagnose complex systems and implement impactful solutions.

My professional journey has been defined by a commitment to problem-solving and process improvement. I’ve successfully led initiatives to enhance tool reliability and optimize workflows, collaborating across multidisciplinary teams to deliver measurable results. My work has involved extensive experience with Statistical Process Control (SPC), root-cause analysis, and developing automation strategies—all of which have provided me with a solid technical foundation for analyzing data and creating scalable systems.

Driven by a passion for technology and a desire to innovate, I’m now channeling my expertise into the rapidly evolving domains of data science and AI. My current focus includes developing models, analyzing data to extract insights, and contributing to projects that advance machine learning applications.

Outside of work, I’m constantly learning new skills, staying updated on advancements in AI and analytics, and exploring opportunities to apply these technologies to create meaningful change. My unique background equips me to bridge the gap between technical expertise and forward-thinking innovation.