Lance Xianyi Liang
Researcher & Developer
Welcome to my website👋
I am a Ph.D. in physiology. A Traslational Researcher in Health Science. A Full Stack Developer.
Skills & Qualifications
Website development
I have experience designing and building various web applications such as static websites, dynamic websites, and single-page applications (SPAs) using JavaScriptlibrary React.js with Redux, and building full stack websites with Next.js orAstro. I have worked withFigma,Css,Sass andTailwind.css, to create visually appealing and responsive user interfaces.
Buiding Fullstack Webapp
I am proficient in building full-stack applications using Next.jsand backend technologies such as Firebase or Mongodb . I have experience building server-side web apps and apis using Express.js , and I understand the fundamental principles of building scalable, maintainable, and performant full-stack applications.
Data Science
I have experience in data analysis using Python and the R. I am proficient in data wrangling, cleaning, and visualization techniques using libraries such as matplotlib/seaborn, numpy, pandas, tidyverse, and tableau. I have experience performing NLP using SpaCy. I have experience building machine learning models using Scikit-Learn and TensorFlow.
Portfolio
As a self-taught developer, most of the projects you will find here are the result of my learning experiences, tutorials, and mockups. However, I am excited to share that I am now starting to build real-world projects that I hope real users can benefit from. These projects will be showcased here soon after they are completed. As a passionate and motivated learner, I am always seeking new challenges and opportunities to enhance my skills and knowledge in web development. I believe that every project I undertake is an opportunity to learn and grow.
Data Science Notebooks
Welcome to my Data Science portfolio, featuring a compilation of Jupyter notebooks from my slef studies and Kaggle projects. This space is a testament to my learning journey and practical application of various data science methodologies. It's a growing repository, regularly updated with new insights as I continue to hone my skills. Thanks for stopping by!
Transfer Learning to Classify Different Dog Breeds
This project is a milestone project of Complete Machine Learning & Data Science Bootcamp inspired by the Kaggle project Dog Breed Identification. The learning purpose is to building image classification models with transfer learning and TensorFlow Hub.
Read moreInfected Blood Cell Detector
This project is a practice project of Complete Tensorflow 2 and Keras Deep Learning Bootcamp by Pierian Data. The project uses TensorFlow Keras to build a CNN model to predict if the red blood cell is infected by malaria based on Giemsa-stained thick blood smear slides. The Dataset is taken from the NIH Website.
Read moreEnsemble Models for Churn Classification
This is a milestone project of Pierian Data's Python for Machine Learning & Data Science Masterclass. The project do exploratory analysis and follow by using different tree-base models to perform classification tasks, and compare the perfomance.
Read moreBlue Book for Bulldozers
This project is a milestone project of Complete Machine Learning & Data Science Bootcamp inspired by the Kaggle project Blue Book for Bulldozers. The learning purpose is to building regression models with time series data, as well as learning more ways of data cleaning and feature engineering.
Read moreLinear Regression Project
This is a milestone project of Pierian Data's Python for Machine Learning & Data Science Masterclass. In this project, I am going to clean the dataset, handling missing data, perform feature engineering, and finally build a linear regression machine learning model
Read moreData Analysis Capstone Prject: Fandango
This is a milestone project of online cousrse by Pierian Data Inc. The project is for practising pandas, numpy, and seaborn library. Beyond the capstone deliverable, I also perform statistical analysis using pingouin library to test significance.
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