A Study of the Effectiveness of Transfer Learning in Individualized Asthma Risk Prediction
Bae et al., 2021. "A Study of the Effectiveness of Transfer Learning in Individualized Asthma Risk Prediction." ACM Symposium on Applied Computing.
CV
Education
International Affairs, Master’s Degree, focus in International Economics, University of California, San Diego
Computer Science Fundamentals, Graduate Certification, Seattle University
Electrical Engineering, Bachelor’s of Science, Minor in Mathematics, Seattle University.
Professional Experience
- July 2020 to June 2021: Data Science & Data Engineer Consultant (Co-op)
- Novo Nordisk, Digital Therapeutics Research and Data Science team; Seattle, WA
- Responsibilities
- Developed in-house Python package application, using AWS S3 and Redshift, enabling Data Science team to gain direct access to self-service data lake.
- Completed Data Modeling in Python for drug measurements, applying Data Science procedures: exploratory analysis, visualizations, feature selection, and metric evaluation on data models.
- Prototyped Python package using software development life cycle principles: data validation, testing, team code reviews, refactoring, and performance improvement, to support Data Science team.
- Supervisors: Pranesh Navarathna, Iman Hajizadeh
- April 2020 to Sept 2020: Graduate Research Assistant, Machine Learning
- Seattle University, Computer Science Department; Seattle, WA
- Responsibilities
- Co-authored publication on Machine Learning supervised classification model for asthma risk indicators, submitted to March 2021 Applied Computing conference in South Korea.
- Developed extensive data cleaning, data visualizations (e.g., boxplots), statistical summaries, and Git repository sharing, with Python code base.
- Supervisor: Professor Wan Bae
Skills
- Software Programming
- Languages: Python, SQL, Java, C++, R
- Version Control: Git, GitHub, GitLab
- Linux OS and Bash/Unix shell scripting
- Jupyter Notebooks, JupyterLab
- Data Science: Classification, Visualization, Machine Learning
- Pandas, NumPy, SciPy, scikit-learn
- Machine Learning: Keras, PyTorch
- Visualizations: Matplotlib, Plotly, Seaborn, and Tableau Public.
- Data Engineering
- Amazon Web Services (AWS): EC2, S3, Redshift, SageMaker
- Big Data Analytics
- Quantitative Methods
- Time-Series, Panel Data, Multivariate Regression
- Software Development
- Object-Oriented Design
- Database Design
- Algorithms and Data Structures (Graphs, Trees, Hashmaps)
- Engineering Principles
- Software Development Life Cycle, Design Frameworks, Architecture
- Testing (Unit, Regression, Integration, Test-Driven Development)
- Methodology and Project Management (Agile, Scrum, Kanban, Retrospectives)
- UX Design, UI Prototyping, wireframes
- Customer Relationship Management: Salesforce Lightning Trailhead training
Certifications
- Microsoft Technical Associate
- Introduction to Programming in Python
- Introduction to Programming in Java
- Microsoft Office Specialist: Excel Expert