Cooper Denny

Cooper Denny

Data Scientist | Melbourne, Victoria

Data Scientist at PlayHQ Sports. Passionate about using data and AI to simplify complex problems — turning messy data into clear insights through predictive modelling, interactive dashboards, and reporting that drives real decisions. I enjoy cross-functional collaboration, working closely with all parts of the business to deliver data that's understood and acted on, using tools like SQL, Python, dbt, Snowflake, Tableau, Lightdash, and more.

Sports Analytics
ML Modelling
Data Insights

Professional Experience

Junior Data Scientist

PlayHQ Sports

Nov 2024 - Present

Full Time

Supporting PlayHQ's mission to power community sport across Australia through data-driven insights and cross-functional collaboration.

  • Building data products that empower community sport across Australia - supporting tens of thousands of games every week through analytics and insights
  • Cross-functional collaboration with Product, Engineering, Finance and Community teams to deliver data-driven solutions using SQL, Python, dbt, Snowflake, and Tableau
  • End-to-end data work - from refactoring models and building dashboards to analysing user behaviour and designing data pipelines for our first-party data platform
  • Impact-driven analysis - running regressions on participant churn/retention, defining success metrics, and translating complex data into actionable business insights
  • Startup environment working with cloud technologies and modern data stack, moving quickly to solve problems from first principles while supporting PlayHQ's mission in community sport

Data Support and App Developer

Boccia Australia

Jul 2024 - Sep 2024

Contract

Enhanced R Shiny application for Paralympic Boccia analysis, integrated Snowflake data architecture, and contributed to Australia's historic Paralympic performance (two silver medals).

  • Enhanced R Shiny application for Pairs and Teams match analysis
  • Integrated historical match data into Snowflake for scalable analytics
  • Collaborated with AIS, VIS, and Paralympics Australia analysts
  • Contributed to Australia's best-ever Paralympic Boccia performance

Data Science Intern

Victorian Institute of Sport

Jul 2023 - Oct 2023

Internship

Developed custom R Shiny performance analysis application, replacing expensive commercial software and providing real-time athlete monitoring capabilities.

  • Built R Shiny application replacing Hudl Sportscode
  • Created interactive, filterable performance dashboards
  • Cleaned and integrated historical match data
  • Collaborated with stakeholders in high-performance environment

Tech Stack

Languages

Excel
SQL
R R
Python Python
Neo4j Cypher (Neo4j)

Data Stack

dbt dbt / dbt Cloud
Snowflake Snowflake
Fivetran Fivetran
Make.com Make.com

BI & Visualisation

Tableau Tableau
Power BI Power BI
Lightdash Lightdash
Omni Omni
Google Analytics Google Analytics
R Shiny R Shiny

Development

VS Code VS Code
Claude Code Claude Code
Jupyter Jupyter
Git Git

Collaboration

Google Drive Google Drive
Jira Jira
Confluence Confluence
Slack Slack

Education

Bachelor of Applied Data Science

Monash University

Feb 2021 - Jun 2024

GPA: 3.292 | WAM: 77.600

Acquired skills in R and Python, data analysis, data visualisation, machine learning, and mathematical modelling. Developed the ability to present complex data science projects clearly and concisely.

Featured Projects

A selection of data science projects showcasing predictive modelling, sports analytics, and interactive dashboards.

2024 AFL Brownlow Prediction Model

Ordinal logistic regression model predicting AFL Brownlow Medal votes using comprehensive player statistics, team metrics, and historical data.

R Machine Learning Sports Analytics
View Project

Eildon Park Cricket Club Website

Full club website built with Claude Code featuring a historical player stats dashboard that automatically populates all senior club records from compiled historical data.

Claude Code Web Development Sports Analytics Cricket
View Project

Australian Arbitrage Betting Finder

API-driven system identifying arbitrage opportunities in H2H betting markets across Australian bookmakers using real-time odds data.

R API Finance
View Project

Melbourne Pedestrian Counting System

Interactive Power BI dashboard analysing pedestrian traffic patterns across Melbourne CBD with temporal and spatial visualisations.

Power BI Data Visualisation Python
View Project

Victorian Property Prices Dashboard

Comprehensive Power BI dashboard providing insights into Victorian property market trends with interactive maps and filterable analysis tools.

Power BI Real Estate Geospatial
View Project

2023 AFL Brownlow Prediction Model

Ordinal logistic regression model predicting 2023 AFL Brownlow Medal votes with comprehensive statistical analysis.

R Machine Learning Sports Analytics
View Project

CricketStatsHub

Comprehensive cricket statistics repository containing batting and bowling data from international and domestic competitions with standardised formats.

Data Engineering Sports Data GitHub
View Project

Ready to Connect?

Let's discuss data science opportunities, sports analytics projects, or innovative collaborations.