Hello There

My name is Patrick Old.
I am a data scientist & software engineer
based in Portland, OR


More About Me

I discovered my passion for data science through research I did in oceanographic physics at the University of Washington. Since then, I have been helping individuals, research groups and companies uncover insights. I love helping people find information that sits behind data and communicating it to the world.

What I Can Do For You

Machine learning. Software development. Intelligence engineering.
I am a technology generalist specializing in geospatial data science.

My Work Experience

August 2019 - Present


Data Science, Data Engineering, and Software Development
- Developed machine learning and artificial intelligence models using natural language processing and classification algorithms with Python, Pandas, TensorFlow, scikit-learn, and Jupyter Notebook.
- Built Flask web applications (Python, JavaScript) and deployed via AWS EC2 for implementation of production-grade machine learning models.
- Developed scripts in Java and Python for geospatial software and geospatial data science.
- Developed extract, transform, load (ETL) pipeline using AWS S3, AWS Athena, and Airflow, output in a Tableau dashboard.

October 2015 - June 2019

University of Washington

Data Scientist - Climate Model Researcher

Led research analytics for a three and half year project to analyze variabilities and inconsistincies in the world's best climate models. Analysis was performed using Python. Work was funded by NASA and the NSF.

October 2018 - March 2019


Created two new undergraduate data science courses focusing on beginning and intermediate data science techniques in the field of oceanography. Courses were taught in Python, with a focus on the basics of numpy and pandas.

Side Work


In college I created and taught undergraduate
classes (Github) on how to create things like this.
Content included Python, numpy, matplotlib and more.
Data Source: World Ocean Atlas 2018

HTML5 Icon

Now I use deep neural networks and machine learning to help bring ideas to life. Test out the following digit recognizer as an example (Github), which uses a convolutional neural network I built in Tensorflow (99.3% accurate on MNIST dataset). UI Credit: Benson Ruan

Hand Written Digit Recognition
Draw a Digit Below


Latest From The Blog.

I love to talk about life, work ethic, and professional philosophies.

Habit Creation During the Pandemic

During a time when we are spending more time than ever at home, our habits here are more important than ever. Here, I discuss books that have helped shape what I think of as some of the best habits in my life. Post.

Work Ethic

The Fascinating Truth of Studying Oceanography

Through my studies in oceanography at UW, I personally came to define oceanography as the study of the physical, biological, chemical, and geological factors of the ocean and how these components interact. And when you are talking about doing this with something that covers ~75% of the globe, it’s quite hard to do that by hand. Post.


Blog posts


Cups of Coffee


Projects Completed

Say Hello.

Please use the links below to get in touch.