Hi, I'm Tim Harris

I'm a graduate student studying computer science and data science.

I use data to find insights, make business decisions, make predictions, and tell stories.

See below to see what I'm working on and to learn more about me.

Seattle, Washington

Education

SU

Expected Graduation: 2025

Seattle University

Master of Science in Computer Science Specializing in Data Science

SU

Graduated 2022

Seattle University

Graduate Certificate In Computer Science

UW

Graduated 2020

University of Washington

Bachelor of Science in Applied Physics

Skills and Relevant Courses

Relevant Courses

Database Systems, Data Structures, Algorithms, Computer Systems Principles, Scientific Computing, Fundamentals of Software Engineering, Artificial Intelligence, Machine Learning, Object-Oriented Concepts, Statistics, Calculus 1-3, Advanced Multivariable Calculus, Linear Algebra, Mathematical Physics, Engineering Graphics and Computing

Skills

Python, Java, C#, Git

Excel (VBA, VLookup, Pivot Tables, Conditional Formatting), Pandas, Numpy, Scikit-Learn, Jupyter Notebooks, Matplotlib

SQL, MySQL

ERP Systems, Smartsheets, Matlab, Sharepoint, PowerBI

Work

keller

April 2023-Present

Pricing Analyst - Keller Supply

elysian

October 2020- April 2023

Packaging Department Lead - Elysian Brewing

UW

September 2019- July 2020

Data Analyst - University of Washington

Projects

Heart Disease Classification Machine Learning Model

Machine learning model that uses patient data to predict whether a patient has heart disease.

Link to Project Code

Hockey Stats Data Scraper

Python code written to take data from hockey-reference.com that can be used for a machine learning model or a visualization dashboard.

Link to Project Code

University Library Book Recommendation System Database

A full relational database created on MySQL Workbench that could be used by a university library. The goal was to create a full database that would allow users to review books so that students and teachers could find the best books and textbooks for each subject.

Link to Project Code

Python RFM Analysis

Using python to determine how recently customers have shopped, how frequently they shop and how much they spend. I then classify customers based on those results.

Link to Project Code

Hockey Prediction Machine Learning Model

A classification model to predict if NHL teams will win each game.

Coming Soon...

Interactive Data Visualization Dashboards

Student Loan Debt

Shows the amount of student loan debt in the US over time. One graph shows the amount held by different age groups over time, one shows the amount of debt held by groups with certain amounts of debt over time, one shows the amount of debt held in each state, and the last one shows how much debt is owed grouped by the amount of debt of borrowers.

Link

NHL Player Nationalities

Shows where NHL hockey players are from, broken down by provinces and states for Canada and the US. I could not find a good visualization of that data, so I took data from hockey-reference.com and built one myself.

Link

Covid-19 Cases, Hospitalizations, and Deaths

Shows the number of Covid-19 cases, hospitalizations, and deaths in King County, Washington by vaccination status over time. Also shows the sum of positive cases divided by the population of each group with a particular vaccination status over time.

Link

Sales Report

A simple interactive sales report created with data from kaggle, similar to ones I have made for work.

Link

Gas Prices

Shows gas prices plotted vs. inflation and vs. the profits of prominent gas and oil companies.Examines gas prices in Seattle and shows how the rise and fall of prices correlated with the inflation index and with how much profit the gas and oil companies were making.

Link

Public School Teacher Salaries

Shows public school teacher salary figures by years of experience. Also shows amount of education and years of experience for teachers.

Link

More About Me

I enjoy using tools such as Python, SQL, Power BI, and Excel to work with data to discover insights and patterns that can be used to tell a story, make predictions, or make business decisions. I am interested in roles where I can continue to learn new skills and continue working with data.

Originally, I got a degree in physics from University of Washington and was interested in civil and aerospace engineering, but during my senior year, while working as a data analyst for the Applied Physics Lab at UW, I discovered that coding and working with data was what I wanted to focus on in my career.

After graduating, I decided to go back to school to get a graduate certificate in computer science fundamentals from Seattle University. There, I learned how to write code in Java and C++. I also learned about data structures, algorithms, and how to use database systems with SQL.

Now I am working on my masters in computer science specializing in data science.

I am a big fan of hockey and football and my hobbies include reading, camping, hiking, and cooking.

Blog Posts