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Ding Lin

Hello! I'm Ding Lin,

a Year 2 Computer Science student at NTU Singapore. πŸ‡ΈπŸ‡¬

My website showcases my life and projects. Feel free to explore! πŸŒ„

Connect with me on LinkedIn, GitHub and Strava below. πŸš€

About Me

People are increasingly reliant on technology to solve problems and improve their lives. I too, believe in the power of technology to make a positive impact on society. Hence, I am constantly improving my skillsets and knowledge to play a part in this digital world.

I am currently committed to attaining my CS degree. In my spare time, I enjoy learning new technologies, like Next.js and Tailwind CSS, to build better websites. I also took the initiative to self-learn cloud computing. I am certified in both the AWS CLF-C02 and Microsoft Azure AZ-900. Apart from these self-initiated learning, I do my best to learn and grow from my school projects and internships. I recently took part in a school organised overseas internship programme, improving on my technical and communication skills.

Apart from building my technical skills, I am also involved in my school's Student Union as a research analyst. I participate in undergraduate research and have been coaching communications skills in my school. Besides these, teaching Mathematics to younger students has also been a fulfilling experience for me from which I see them gain confidence in their abilities and achieve their desired results.

I enjoy running long distances as it helps me to clear my mind and stay healthy. Occasionally, I play golf and badminton with my hall friends. I have represented both my hall and school in track events before, and I enjoy the friendly competitiveness that comes with it. I travel actively during my breaks to explore new places and cultures. I am in love with experiencing the sceneries the world has to offer.

Coding the website!

Coding my personal website :D

Travelling

Enjoying Harbin Ice and Snow World in -25Β°C weather!

My Projects

Hospital Management System

An OOP-based Java Console Application that allows efficient access to hospital data.

Analysis of Amazon Sales Data

Analysing sales data to build a recommendation system using machine learning.