Data Scientist discovers the information hidden in vast amounts of structured and unstructured data to build high quality prediction systems. Perform R&D and exploratory analysis using statistical techniques and machine learning clustering methods to understand data.
Strong quantitative, analytical, and problem-solving skills; Linear and logistic Regression, Neural Network (NN), Support Vector Machine (SVM), Random Forest, Principal Component Analysis (PCA), and Time-series forecasting analysis.
Specialties: Big data analysis, quantitative data analysis, machine learning, deep learning, data mining, image processing.
Native Korean speaker.
Obtained biomedical engineering Ph.D. in US.