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.
Statistical analysis and correlation visualization revealing a significant positive relationship (r = 0.581, p < 0.001) between childhood lead exposure and violent crime across Chicago neighborhoods with 15-year lag.
Web-optimized raster pipeline processing 220+ LIDAR-derived flood models. COG reprojection, XYZ tile generation, and real-time tide datum alignment for public emergency preparedness.
Random Forest ML model optimizing vehicle allocation across Halifax transit routes. ETL pipeline processing 2.5M+ passenger records with temporal feature engineering and outlier filtering.
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