Chris Mahoney
Senior Data Scientist
Sydney, New South Wales, Australia
Summary
👤
Senior🎓
Top SchoolChris Mahoney is a Senior Data Scientist in Sydney with six years of experience designing and deploying production-grade ML, data engineering, and analytics solutions across enterprise clients, now leading data work at Visa while running Madlytics. He blends hands-on engineering (Python, R, SQL, Azure/AWS, PowerBI/Tableau) with pragmatic business focus—always asking how models and pipelines improve outcomes—and has a strong track record of productionising models and measuring drift. An experienced Agile delivery lead and mentor, Chris has taught and mentored data science students at UTS and co-authored improvements to the popular PyCaret time-series plotting features, showing a commitment to practical open-source impact. He pairs academic distinction (Dean’s Medal, HarvardX/MicrosoftX data credentials, and a Master’s in Data Science) with long-term volunteer leadership coaching at Rotary, revealing an unusual mix of technical depth, pedagogy and community-focused leadership.
6 years of coding experience
5 years of employment as a software developer
HarvardX: Professional Certificate in Data Science, HarvardX: Professional Certificate in Data Science at edXDiploma of Management, Diploma of Management at Benchmark CollegeBachelor of Applied Leadership and Critical Thinking, Bachelor of Applied Leadership and Critical Thinking at Western Sydney UniversityMasters of Data Science and Innovation, Masters of Data Science and Innovation at University of Technology Sydney
Stackoverflow
636reputation
29kreached
42answers
3questions
Github Skills (15)
machine-learning10
time-series10
pycaret10
python10
data-analysis10
plotly9
documentation8
knitr6
rmarkdown6
roc6
dplyr6
tidyverse6
r6
package6
rstudio6
Programming languages (9)
Github contributions (5)
pycaret/pycaret
Jun 2022 - Jan 2024
An open-source, low-code machine learning library in Python
Role in this project:
ML Engineer
ML EngineerContributions:1 review, 3 PRs, 13 comments in 1 year 7 months
Contributions summary:Chris focused on improving the plotting functionality within the time series forecasting module of the Pycaret library. Their contributions involved fixing issues related to plot rendering and display in different environments like Streamlit, Plotly widgets and Dash. They addressed double-printing problems and updated docstrings for better clarity. The user also made improvements to the logic and formatting of the plotting features.
pythonpycarettime-seriesclassificationdata-science
chrimaho/ts-stat-tests
Jul 2022 - Mar 2023
Time Series Statistical Tests
Contributions:36 releases, 172 PRs, 437 pushes in 8 months
time-seriespythonstatisticalstatistical-tests
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