Overview

I have dealt with all kinds of data (e.g. clinical, imaging, biological data in different formats, structures and systems) and applied my data science and statistical skills to solve real-word problems for 5+ years.

Here’s a summary of my skillset and experience in data science:

• Language: Python, R, SQL, Shell Scripting (Bash), MATLAB

• AI Framework: Keras, TensorFlow, Scikit-learn, PySpark

• ML Model: Regression, Naive Bayes, PCA, Neural Networks

• Data Visualization: Tableau, Matplotlib, Seaborn, ggplot, Plotly

• Database: PostgreSQL, Microsoft Access

• Other Systems: XNAT, LabKey, REDCap, SciNet HPC, GCP

• Other Tools: Git, SPSS, REST API, Singularity/Docker

• Qualification: Master of Applied Science in Biomedical Engineering (University of Toronto, ‘20), DeepLearning.AI TensorFlow Developer (Coursera), Machine Learning on Google Cloud (Coursera)