Donald Jordy
Data Scientist · Ontario, Canada
I have a mathematics background and I'm now studying business analytics and AI at the graduate level, focused on rigorous analysis, practical machine learning, and clear communication, from raw data to findings a team can actually act on.
currently: Studying for my M.Sc. in Business Analytics and Artificial Intelligence at Ontario Tech University while building an end-to-end data-science portfolio, six public projects across machine learning, forecasting, experimentation, and analytics.
projects
- 2026-07-20Complete
Customer Churn Prediction
A churn model framed around a real decision (a retention team that can only call about 200 customers) and evaluated against the heuristics it has to beat, not just on accuracy.
classification · scikit-learn · model evaluation · statistics
- 2026-06-20Complete
Bank Term Deposit Predictor
A deployed classifier that predicts whether a client will subscribe to a bank term deposit, with a live Streamlit app for real-time predictions.
classification · random forest · streamlit · deployment
- 2026-07-24Complete
NBA Game Prediction: Can Features Beat Elo?
Predicting NBA winners over 68 years of games, benchmarked honestly against FiveThirtyEight's Elo. A lesson in how hard a good baseline is to beat.
classification · temporal validation · calibration · sports analytics
- 2026-07-18Complete
Revenue & Retention Analytics
An advanced-SQL investigation into why a subscription business's revenue growth was slowing while signups hit records, ending in a campaign A/B test.
sql · window functions · cohort analysis · a/b testing
- 2026-07-22Complete
Retail Operations Dashboard
From a million messy real invoice lines to a four-view decision dashboard, with every cleaning choice counted and every KPI defined and tested.
dashboards · streamlit · data cleaning · kpi design
- 2026-07-25In progress
Demand Forecasting: 7 Days Ahead
A 7-day-ahead demand forecast done the way time series must be: walk-forward backtesting, baselines first, and strict control over what's known at forecast time.
time series · forecasting · backtesting · scikit-learn
notes
2026-07-10 · sample
EDA checklist: the questions I ask every new dataset
A repeatable first-hour routine for meeting a new dataset, before any modeling happens.
2026-07-03 · sample
Why I always build a baseline model first
A complex model is only impressive relative to what a simple one achieves. Start simple, on purpose.
ventures
Website creation
taking clientsConversion-focused websites for small businesses, designed, built, and shipped fast using AI-assisted development workflows.
AI automations
taking clientsWorkflow automations that connect the tools a business already uses (intake, follow-ups, reporting), with AI applied where it actually helps.
skills
Python, SQL · pandas, NumPy, Jupyter · scikit-learn, gradient boosting · Hypothesis testing, A/B testing, regression · Walk-forward backtesting, forecasting · Matplotlib, Plotly, Streamlit · Git, GitHub, pytest, virtual environments
full breakdowncontact
Open to data science and data analyst roles. donaldjordy.djoutsop@ontariotechu.net