Lead Crime
Hypothesis
End-to-end pipeline analysis revealing a 34% drop-off in the mid-funnel stage, leading to a targeted intervention that recovered $280K ARR.
Data Analyst / Insight Architect
I turn messy datasets into clear narratives. Specialising in exploratory analysis, statistical modelling, and dashboards that actually get used. Based in Halifax, NS — open to remote.
End-to-end analysis pipelines from raw data ingestion to polished, stakeholder-ready dashboards. Proficient in Tableau, Power BI, and custom D3.js charts.
Regression, hypothesis testing, time-series forecasting, and A/B experiment design. Comfortable moving between frequentist and Bayesian approaches.
Complex multi-table queries, window functions, CTEs, and performance tuning. Experience with dbt for analytics engineering and Airflow for pipeline orchestration.
Data wrangling with pandas and NumPy, automation scripts, API integrations, and building reusable analysis frameworks that scale across teams.
Translating ambiguous business questions into measurable metrics. KPI framework design, OKR tracking systems, and executive reporting suites.
Supervised and unsupervised learning for classification, clustering, and anomaly detection. Model evaluation, cross-validation, and productionising with Flask or FastAPI.
End-to-end pipeline analysis revealing a 34% drop-off in the mid-funnel stage, leading to a targeted intervention that recovered $280K ARR.
XGBoost classifier achieving 91% AUC on held-out data, deployed as an internal API enabling proactive retention outreach for at-risk accounts.
SARIMA + external regressor model forecasting weekly SKU demand across 120 stores with MAPE of 6.2%, reducing overstock costs by 18%.
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