__CourseWork__

[Competition] KAMP : 2022년 제2회 K-인공지능 제조데이터 분석 경진대회 : 시계열 분석 기반 용해물 품질 예측 AI 모델 개발

Repository for the microassignments and final project of the UC3M's MSc in Connected Industry 4.0's Intelligent Processing Data Tools subject

At Infosys Springboard, I worked on a project focused on unsupervised anomaly detection in healthcare providers. I implemented three machine learning algorithms—Isolation Forest, Elliptic Envelope, and One-Class SVM—as well as a deep learning approach using autoencoders. Additionally, I conducted individual SHAP analysis

An example of improving data quality and identifying anomalies within a real-life dataset for master data management or data engineering.