James Burnard

Hi there! Welcome to my personal website. Here you'll find any projects I've done/am doing, and a collection of my coursework/skills. Take a peek at some pictures I've taken by clicking the moving bubbles on the screen.

About

Personal info, coursework, and other stuff.

About Me

I am a (very) recent graduate of the University of Massachusetts Amherst, receiving both a BS in Informatics (data science track) and a BA in Economics.

I’m fascinated by the power of data and the various methods that, when applied to it, allow for incredible explanations of various phenomena.

Most of my experience comes from internships as a data scientist or research in Economics. Within each experience, the projects have required me to build intricate data pipelines that feed machine learning models and visualizations. This includes time-series, forecasting and clustering algorithms, as well as animated node graphs. You can see some of this work in my projects section, have a look!

Currently

#OpenToWork! Looking for data science, data analytics, business analytics, data operations roles or anywhere else I can apply my skills, feel free to reach out.

I'm using An Introduction to Statistical Learning and some academic publications to try to most accurately predict FIFA World Cup games.

Skills

Python R SQL XExcel BITableau / Power BI JavaScript Pandas NumPy Scikit-learn PyTorch XGXGBoost σStatistics & Probability ETLData Wrangling tsForecasting kClustering OCRText Recognition Git / GitHub GISGIS

Noteable Coursework

Here are some of the classes I took as an undergrad that I found really interesting. I'd say these are the classes that had the biggest impact on how I think about technology, data, and problem solving.

Computer Science & Data Science

  • Harnessing DataSci For Social Good
  • Graduate Math Applied Statistics
  • Predictive Analytics In Python
  • Database Management
  • Data Structures
  • Data Science Algorithms
  • Object-Oriented-Programming
  • Mathematical Foundation For Data Science
  • calculus II
  • Calculus I

Economics

  • Microeconomics I & II
  • Macroeconomics I & II
  • Econ In The Age Of Big Data
  • Financial Economics
  • Behavioral Economics
  • Research Methods Design & Analysis