Kwanyong Damon Jo
About Kwanyong Damon Jo:
Hi there! My name is Kwanyong (Damon), and I am a skilled software developer with experience in web development and data analytics. With a diploma in Computer Systems Technology from BCIT and a background in chemistry from Hankuk University of Foreign Studies in South Korea, I bring a unique blend of technical expertise and analytical thinking to the table.
As a web developer, I have worked on a variety of projects ranging from creating a healthcare web app to developing a data collection app sponsored by Sisa Energy. In my most recent position as a Web Developer Intern at Sisa Energy, I implemented Microsoft user authentication with MSAL and designed the UX/UI of a web app, among other responsibilities. I am proficient in JavaScript, HTML/CSS, Python, and Java, as well as database technologies like MongoDB and PostgreSQL.
Aside from my technical skills, I am passionate about creating products that solve real-world problems and enhance the user experience. I enjoy collaborating with UI/UX designers and other stakeholders to translate business and consumer requirements into functional products. I bring a positive attitude, strong work ethic, and eagerness to learn to every project I work on.
Experience
WEB DEVELOPER INTERN - SISA Energy
- Contributed to the development of a web application by successfully implementing Microsoft user authentication with MSAL to verify user information, enabling clients to log into the platform for the auditing process.
- Designed the UX/UI of the web application and created a prototype with Figma to provide user-
friendly web design.
- Implemented responsive design with React and Tailwind to ensure optimal display across various
devices.
- Optimized the web application's performance by aggregating a large dataset using JSON to
eliminate duplicate queries.
SOFTWARE ENGINEER - Agartee (BC, Canada) 05/2022 - 12/2022
- Developed a highly scalable healthcare web application for managing patients' health data using Python and Kairos DB.
- Designed and implemented a system for archiving and aggregating data from healthcare devices' databases, using data processing techniques to optimize performance and minimize data loss.
- Utilized an API that supported GET/POST request metrics to efficiently retrieve and process raw data, resulting in faster and more reliable data processing.
Education
BCIT (BC, Canada) 01/2021 - 01/2023
DIPLOMA IN COMPUTER SYSTEMS TECHNOLOGY
-Predictive Analytics Option-
Learned machine learning/modeling techniques to predict binary, probability, ordinal, and categorical outcomes.
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