Below are educational case studies, projects and independent work I have completed in order to showcase comprehension of different skills and concepts. Please note not all relevant skills may be shown here, see "About" for full list.

Toronto COVID-19 Fatality Prediction (Spark.ML)

The purpose of this report was to provide analytical findings on COVID-19 data from the City of Toronto. Data was collected from https://open.toronto.ca/dataset/covid-19-cases-in-toronto/ and used to develop a Machine Learning algorithm in Spark.ML to predict survival/fatality based on a number of factors.

Bioacoustics- Machine Learning (Python)

I want to thank Georgian College and the Nottawasaga Valley Conservation Authority for the opportunity to work on this project.

We developed a Machine Learning Application to assist in the identification and classification of aviary species via sound through Deep Learning

Global Happiness Index (Spark.ML)

Spark ML is used to create practical machine learning models. Following is a walkthrough of a recent Spark ML project I completed working with a global happiness index.

Consulting Work

Email jmurneyanalytics@gmail.com for reference work

Page updated

Google Sites

Report abuse