Chan Hui Wen | Biostatistician (Data Scientist)

Chan Hui Wen

Biostatistician (Data Scientist)

Based in Kuala Lumpur, Malaysia

About

As a Mathematics and Data Science graduate, I am an ambitious individual with a profound passion for unlocking the potential of data-driven solutions. I am a motivated and keen learner who is driven to learn more about the applications of machine learning and data science, especially in the healthcare industry. My experience with Python and R programming has sharpened my data preprocessing, data visualisation and data analysis skills. I have also had experience with developing machine learning models.

Skills

Projects

Mathematics Final Year Industrial Project - Sales Forecasting Model

Developed a VARMAX model to forecast sales across 20+ beverages and outlets for a Malaysian coffee chain, applying data preprocessing, feature engineering, and time series clustering to enhance accuracy.

Migraine Pain Level Prediction

Developed a multiple linear regression model for migraine pain level prediction, achieving an accuracy of 89% in predicting pain intensity.

Malaysia Air Quality Monitoring Dashboard

A comprehensive dashboard built with Microsoft Power BI for the Malaysia Data Innovation Talent 2023 datathon, where my team achieved 3rd Place. The dashboard is used to analyse the air quality situation in every state in Malaysia.

Singapore HDB Resale Price Analysis Dashboard

A comprehensive dashboard produced using Microsoft Power BI that allows users to analyse the resale price of HDB flats in every street and town in Singapore. HDB was was retrieved from data.gov.sg. Users can analyse the resale price with various flat features.

Experience

2023

Business Intelligence Intern (Data Analytics) at KPMG Malaysia

During my internship in KPMG Malaysia, I produced a Power BI dashboard to perform data analysis for a notable client in the FMCG industry and developed a Power BI dashboard to analyse factors influencing resale price of HDB flats in Singapore for a case study. I have learnt to utilize DAX expressions and tooltips in Power BI to generate more data insights. I have also utilized Microsoft Excel and Python (Pandas library) for data preprocessing, merging datasets and creating new features for analysis.

2024

Market Risk Intern at Public Bank

2025

Credit Risk Modeler at Public Bank

2025

Biostatistician at Cortical Labs

Education

2022-2025

BSc in Mathematics and Data Science

Core Modules: Programming & Algorithms, Probability Models & Methods, Statistical Models & Methods, Introduction to Scientific Computing, Programming & Algorithms, Algorithm Correctness & Efficiency, Artificial Intelligence Methods

2020-2022

A-Levels at Sunway College

Subjects: Chemistry, Biology, Physics, Mathematics)

2015-2020

IGCSE at Sri KDU International School

Core Subjects: Biology, Chemistry, Physics, Mathematics, First Language English, English Literature, Mandarin Second Language, Design & Technology