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Data Science Portfolio

As a data scientist, I believe in the power of open source, open science, and open data. My recent focus has been on productionizing machine learning and deep learning tools for versatile use across various datasets.

Current Projects

A. Data Science for Bioinformatics (OmixHub)

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Vision

Build well-documented, user-friendly modules for omics datasets
Provide tutorials for early-stage data scientists in bioinformatics
Standardize ML/DL and bioinformatics tools

Implemented Projects

Data source: Genomic Data Commons

Codebase: OmixHub

B. Data Science for E-Commerce

Vision

Develop generalizable tools for e-commerce analysis
Demonstrate advanced Python programming (OOP) with real-world data

Projects

Data source: Kaggle

Codebase: E-Commerce Projects

C. Data Science for Medical Diagnosis

Vision

Assemble deep learning algorithms for medical imaging analysis
Create unified modules for 2D and 3D image processing

Projects

Multi-label Classification of X-Rays using DenseNet

Data source: Contact via email

Codebase: AI for Medicine

D. Grad School Projects

During my masters at UC Davis, I developed skills in quantitative genetics and AI: