Ing. Pavatharini Muthukkumar

On parental leave from the end of December 2023 to February 2025. • AI in production: – Conducted in-depth analysis at a production unit, identifying AI applications to boost productivity and reduce costs. – Implemented a YOLOR object detection model, automating the detection of improperly plugged connectors and saving 960 hours of manual labor. – Significantly improved employee efficiency and customer satisfaction. • Enhanced my master thesis to achieve 95% accuracy.

Project: A comparative analysis of machine learning models for requirement documents of imbalanced datasets using multi-label text classification • Applied machine learning algorithms to classify documents across departments using multi-label text classification. • Handled imbalanced data with sampling techniques and performed feature extraction. • Compared seven machine learning models, selecting the best performing one based on micro-F1 score. Impact: This project helped reduce the 2 weeks response time.

Worked in the field of .Net Technology as Full stack .Net Developer (Frontend - Angular, Backend - .Net, Database - MsSQL) and in Production Support (Wrote multiple critical queries in real-time to resolve the issues in client database). Took up responsibly in changing the project architecture (creating new environments) and increased performance of my project by creating Elastic Search indexes. Expertise in debugging and finding the root cause of failure and rectifying it. Worked in Agile Methodology.

Deep Learning aficionado. Did various class projects. Did Intern and Master thesis in Panasonic Industrial Devices Europe GmbH. Looking for the job in DataScience field to enhance my experience

specialization in Data Structure and Algorithm. Internship: Amshuhu (www.amshuhu.com) worked in Html, CSS and Angular.