Portfolio

💻 Coding Projects

Explore my portfolio projects below, organized by programming language.

Python

• Brain Tumor Segmentation App: An end-to-end deep learning pipeline for brain tumor segmentation developed using the MONAI framework and multimodal structural MRI data from the Brain Tumor Segmentation Challenge 2021. The inference pipeline was containerized using Docker.

• Atrium Segmentation App: A Gradio app presenting a deep learning solution for automatic segmentation of the left atrium, based on a U-Net architecture implemented in PyTorch. The dataset consist of 20 cardiac MRI images and its corresponding left atrium labels from the Medical Segmentation Decathlon (MSD) challenge.

• Product Review App: A Streamlit app which perform sentiment analysis on a ficticious product review dataset. The sentiment analysis is performed using bert-base-multilingual-uncased-sentiment from huggingface transformers library.

• US Sales Dashboard: A Shiny dashboard created following Keith Galli’s tutorial on Youtube Build Awesome Web Apps & Dashboards with Python! (Full Shiny for Python Course).

• Nobel Prize Dashboard: A simple dashboard created using Plotly Dash to uncover some curious facts from the history of Nobel Prize.

SQL

• Data Science Market Exploration: A simple analysis of the data job market from Luke Barousse SQL course.

R

• Spotify Wrapped: A visualization project for the Mavens Music Challenge, January 2025, using ggplot2.

MATLAB

• Coursera Machine Learning Course: Solutions to programming assignments from Andrew Ng Machine Learning Course.
• KRelax: A toolbox for relaxivity calculation using MRI

ReactJS

-Tenzies: A Tenzi dice game.