My life motto: "Constraints Drive Creativity"
I am an upcoming Master Student in Computer Science at Rochester Institute of Technology (go Tigers!). My intended research will focus on Computer Vision and Recommendation Systems. In the mean time, I am freelancing both as a data scientist and a data journalist, specializing in Machine Learning (Deep Learning), Data Analysis, and Data 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 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!