About Me
Hello, I am Bowen Zhang, and I'm currently a canidate for the BrainStation Data Science Diploma (Sept 2020). I have been transitioning into Data Science from a background with Economics and Data Analysis.
I graduated York University with a bachelors in Financial and Business Economics, and then completed a Micro-Master certfication in Data, Economics, and Development Policy from MIT online. The coursework involved Statistics, Experiment Design, RCT, A/B Testing, Data Collection & Management, Machine Learning, Data Visualization, and using R. I have also completed the Data Science Specialization on Coursera consisting of 10 data science courses.
I am always eager to learn and find new ways to creatively solve problems. My mantra is also to keep learning improving. Here are some projects I have completed. Keep scrolling to check it out!
Toolbox
Portfolio
Audio Language Detection AI
- Deep Learning
- Neural Networks
- Pytorch/Python
- Computer Vision
Deep learning AI created to detect up to 5 languages from speech. Built using pytorch.
Text Predictor with Ngrams
- Natural Language Processing
- R/R-Studio
- R Shiny
- Quanteda
Web app that predicts the next word. Built with R, Shiny, and Quanteda package.
Ontario Covid Tracker
- R/R-Studio
- R Shiny
- Leaflet
- Visualizations
An interactive map tracking Ontario's COVID-19 cases. Built with R, Leaflet, & Shiny.
My Interview App
- Python + Flask
- SQL
- JavaScript + JQuery
- Web Application
A simple web application that allows users to sign up and create their own personal interview application that simulates a virtual interview with users they share the link to.