My life motto: "Constraints Drive Creativity"

 

I am currently a Master Student in Computer Science at Rochester Institute of Technology (go Tigers!). My intended research will focus on Computer Vision using Deep Learning. In the mean time, I am freelancing both as a data scientist and a data journalist, specializing in Machine Learning, Recommendation Systems and Data Analysis / Visualization.

I graduated with a Bachelor Degree in Communication and a minor in Computer Science from Denison University in 2017, during which I did summer internships in Business Analytics and Product Management at VC-backed startups in Seattle and San Francisco.

I finished boarding school in Rabun Gap, Georgia in 2013, prior to which I spent 16 years being born and raised in Hanoi, Vietnam.

I maintain a list of the books I read on Reads and keep track of a list of podcasts I listen to regularly on Listens. I also occasionally write on Medium, regularly commit on GitHub, daily tweet at @james_aka_yale, and always look to connect on LinkedIn.

I'm working on a Medium publication called Cracking The Data Science Interview, which consists of blog posts covering topics tested in a data science interview - such as Machine Learning, Statistics & Probability, Algorithms, Python & R, Database - coupled with advice from data scientists and applications in the industry. Follow it!

Last but not least, I'm working on a new podcast called Datacast - raw conversations with practitioners from the worlds of artificial intelligence, machine learning, statistics, and data science. Check back often for the first few episodes which will be released soon!

 
 

data science

A list of my top data science projects, in the form of Jupyter and R Notebooks, fully open-sourced on GitHub.

Learn More →

data journalism

A list of my top writings on data science, machine learning, and statistics, featured in major technical publications.

Check Them Out →