echoid,Echo Zhou,github

Hi there 👋 I'm Echo

🔭 I’m currently working on my PhD in Data Science and Generative AI
👨‍🏫 Academic Tutor in Data Science and Statistics (2022 - Present) - Various institutions, including the University of Melbourne
🎓 PhD Student in Data Science (2023 - Present) - Deakin University
🎓 Master of Data Science (2021 - 2022) - University of Melbourne
🎓 Bachelor of Science (Major in Data Science) (2018 - 2020) - University of Melbourne

Skills

Programming: Python | R | SQL | Java | C | JavaScript

Machine Learning: Scikit-learn | TensorFlow | Pytorch

Cloud Platforms: BigQuery | Pyspark | Spartan | AWS

Visualisation: Tableau | Microsoft Power BI | Google Data Studio

Technical: Git | LaTeX | Microsoft Office Suite (Word, PowerPoint, and Excel)

Languages: English | Mandarin

Feel free to connect with me on LinkedIn or visit my personal website Echo's BlackHole!

Echo Zhou's Projects

2020-msa-content

MSA Australia 2020 Official GitHub Repository

comp90051_2020_s1

Materials for SML 2020 S1

expendibots

A simple two player board game with some backtracking algorithms

gain-pytorch_infor

Pytorch implementation of GAIN for missing data imputation, information loss implementation

gain_info

Codebase for Generative Adversarial Imputation Networks (GAIN) - ICML 2018

mast30034_python

Tutorial and Code for MAST30034 Applied Data Science

ml_dl_missing_data_imputation

This repository contains the code and data for the research paper "Missing Data Imputation: Do Advanced ML/DL Techniques Outperform Traditional Approaches?".

neural-networks-and-deep-learning

Neural Networks and Deep Learning Programming Assignment by DeepLearning.AI

scopusscrapus

A few small routines to scrape the data from Elsevier's Scopus API

tabcsdi

A code for the NeurIPS 2022 Table Representation Learning Workshop paper: "Diffusion models for missing value imputation in tabular data"

tablegan

tableGAN is a synthetic data generation technique (Data Synthesis based on Generative Adversarial Networks paper) based on Generative Adversarial Network architecture (DCGAN).