### Experience

**Jul 2019 - Present**

**Creator**,

*Trends in Higher Education with D3 Visuals:*

This project currently has consisted of parsing pdfs, and html of publicly released university post-
graduation surveys to build csv files. After I gather all the required data, I will clean it, and analysis
it for trends.

**Dec 2018**

**Learning Project**,

*Machine Learning - Cousera - Stanford*

Back in the Summer of 2016 I started this course, but at the time I did not have the math
experience required. I decided to give it a go again after completing courses Linear
Algebra and Calculus, and it was a great success – I completed all the programing
assignments and learned a great deal about how data can be analyzed to make predictions;
it also gave me a better appreciation of the math I have learned.

**May 2019 - Present**

**Learning Project**,

*Introduction to Databases - Stanford Lagunita*

This course covered the XPath and SQL query languages, efficiently designing database
schemes by analyzing dependences and using normal forms, as well as semi-structured
data in the form of JSON and XML.

**Dec 2018**

**Learning Project**,

*Introduction to Probablity - Open Courseware - MIT*

An extensive course in Probability Theory and Statistical Inference. As work through the course I continued to be amazed by the power of probability theory, I can’t
wait apply Bayesian inference, Monty Carlo Simulations and probability distributions to
future data science projects. In particular, I am excited to use what I learned in the course
in a signal processing/computer vision context.

### Education

**Sep 2018 - Present**

**Artificial Intelligence and Mathematics (BSc Hons)**,

*University of Edinburgh*

Skills | |
---|---|

Java | Javascript (D3JS, Redux, JQuery) |

HTML, CSS | Latex |

Git | Linux and Bash |

Python (Numpy, Pandas, Selenium) | SQL and XPath |

Haskell | Regex |