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Hello There

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

About

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 working in industry and with research groups to use data science to solve problems. I am also a student in UC Berkeley's Master of Information and Data Science program.

What I Can Do For You

Data Science. Data Engineering. Software Development.
I am a technology generalist specializing in data science.

My Work Experience

August 2019 - Present

Nike

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.
- Developed numerous extract, transform, load (ETL) pipelines using Python, SQL, Airflow, Snowflake and AWS.
- Developed 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.

October 2015 - June 2019

University of Washington

Data Scientist - Climate Model Researcher
Publication

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

Instructor

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

Projects

In UC Berkeley's Master of Information and Data Science (MIDS) program, my team and I extensively analyzed the relationship between mobility and the number of COVID-19 cases per capita in each US state. Link

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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

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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

Journal

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.

Career
5

Blog posts

100

Cups of Coffee

16

Projects Completed

Say Hello.

Please use the links below to get in touch.