Dominic Mortimer
Dominic Mortimer
Physicist turned data scientist | Python, SQL, Power BI
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I use data science as a conduit through which I can apply my academic foundation in physics and math. I leverage highly refined technical skills to solve real-world problems, and my current work at NIKU farms allows me to do that, while also helping to grow an outstanding B Corp-certified business.
I also use my spare time to work on some pretty cool personal projects, short summaries of which can be found below. If you're interested, there are some links to short videos where I walk through the project step by step.
Selected Projects
Selected Projects
CollisionTracker
CollisionTracker
The purpose of this project is to use machine learning algorithms to predict the locations of traffic collisions, based on the current state of traffic flow through a city. To do so, I merged three datasets, corresponding to volume traffic counts at select intersections, collisions in the city, and local weather. After considerable data cleaning, I used a grid search to optimize an ML model that could predict the locations of collisions with decent accuracy.
Check out a short presentation here.
Google Insight
Google Insight
This project was built as part of the 24 hour BrainStation x Google Hackathon, and is in response to the question posed by Google:
How might we increase user privacy through data education?
Our team, comprised of 2 web developers, 3 UX designers and 1 data scientist, elected to tackle the problem space by providing users with an app in which they can view how companies might be using their location data to benefit them. We make use of a dataset on taxi trips in New York city, and show map visualizations which demonstrate the insights which can be made from collecting this kind of location data.
Check out a short presentation here.
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