Keaton Proud

About Me

Born and raised in Toronto, Canada. Currently in Milan, Italy.

Focused on building tools that reduce barriers to modern data + technology solutions in sport and business. If you want to work together, shoot me an email.

Working in data with the MileIQ team at Bending Spoons. Completed a Master's in Statistics in the Data Science stream at the University of Bologna.

In my free time you can find me with family and friends or building something.

Public Projects

ML Classifier Comparison

Compared six ML classifiers on COVID-19 data from Brazil. Methods of improving efficiency and effectiveness are included.

Notebook Repo
Forkast

Built a recipe sharing, planning, and ingredient list creation tool for friends and family.

Web App
SpeedLog

An app for volleyball teams to easily track and analyze serve data, including parsing images of handwritten data.

Web App

Journey

My data science timeline. For more career details, check out my profile on LinkedIn.

Moving to Product at Bending Spoons: MileIQ

Moved from working on company-wide tooling to a Product team. I'm focused on growing MileIQ and improving everything data-related.
Hosting and Managing Virtual Machines

Started to manage my own remote server that hosts personal and public web apps.
Bending Spoons: Maintaining Data + ETLs

Using Python, BigQuery, and SQL to support in managing our flow of app monetization data from payment providers to our internal users.
Building TIGS, a Volleyball Desktop App

Taking experiences from years prior, I started building a cross-platform application in Python to bring modern volleyball analytics to teams with less funding.
Starting my Master's in Statistics in Bologna

Despite having an unrelated Bachelor's, I was able to build a portfolio to earn a position in a Master's degree in Statistics + Data Science.
Further Developing Programming Skills

Used downtime through COVID to dive deeper into programming and integrate it with upcoming and existing projects. Developed personal and professional tools via Python, R, Shiny, Tableau, and others.
Fine-Tuning Our Data-Driven Processes

After building effective methods for quantifying decisions, I presented our principles and methods with the rest of the Queen's Athletics High-Performance dept.
Using Python and R with Coaching

Started to realize the potential of developing proper data pipelines, but my knowledge was still limited. Responsible for collecting, analysing, and presenting findings within our team.
Coaching with Queen's Volleyball

Took on a large role with the Queen's Men's team, where I built upon my love for coaching and found a passion for data. I worked with the team until 2022.
Graduated from Queen's University

Finished my Bachelor of Science in Psychology with the intent of working in sport psychology.