David Chin Email and Phone Number

- Handled large dataset consisting of patient health records of over 200 million rows, conducted preprocessing to simplify dataset for analysis.- Experimented with machine learning and deep learning models using PyTorch in an attempt to predict onset of chronic diseases in patients

- Develop machine learning prototype models to analyse huge volumes of financial transactions in order to uncover unusual patterns and anomalies within the vast dataset consisting of >800,000 rows. - Utilized Natural Language Processing (NLP) tools and techniques to extract relevant information from PDF files, to be converted into datasets for training machine learning models.- Applied word embedding models such as spaCy, together with sklearn to capture the semantic meaning of text as well as comparing structural similarity, calculating similarity scores between different text fields, enabling efficient information retrieval and clustering.