CHANHEE PARK

LIGHTBOX, JUN 2023 - DEC 2023 | Python, Flask, JavaScript, HTML, CSS 

• LightBox is an interpretable Machine Learning(ML) platform to let domain experts and ML practitioners explore their data with classification accuracy, confusion matrices, ROC curves, and feature importance
• Created a website by using Python Flask allowing experts and non-programmers to obtain ML results Implemented some features for some metrics to evaluate the interpretability of the black-box ML algorithm

STORAGE API WEBSITE, MAR 2023 

| Python, Flask, CSS AWS Elastic Beanstalk, AWS S3, AWS DynamoDB 

• Created a website for parsing and loading data into S3 and DynamoDB and deployed on Elastic Beanstalk
• Implemented the back end in Python Flask and utilized AWS SDK for integrating S3 and DynamoDB
• Queried DynamoDB table using form input taken from users

RESEARCH MANAGEMENT SYSTEM, MAR 2023 | MSSQL, Vue.js, Azure Static Web Apps 

• Collaborated with a team of five to create a GUI application for managing all research projects and related information through a web interface
• Wrote queries using MSSQL and JavaScript on our database hosted on Azure SQL
• Utilized Azure Functions for HTTP verbs as RESTful API layers for easy integration with our database software