Pavatharini Muthukkumar

I am a Data Scientist at Panasonic Industrial Devices Europe, passionate about AI, machine learning, and automation. I specialize in building scalable, real world AI solutions that drive business value. One of my key contributions was developing and deploying a YOLOR based object detection model to automate defect detection in production, saving 960 hours of manual labor and improving quality control. I also led predictive analytics initiatives for tool wear detection and anomaly analysis. My Master’s thesis in multi label text classification achieved 95% accuracy, reducing document processing time from 2 weeks to 30 minutes. With an M.Tech in Data Science & Engineering BITS Pilani and 3.6 years of full stack .NET development at Infosys, I bring a unique blend of data science and engineering skills. My work has been recognized with Panasonic’s Business Process Innovation Award. I am eager to apply my skills in impactful projects that merge data, intelligence, and innovation.