Skills
A full-stack analytics toolkit
Deep in SQL and BI, comfortable in production Python, and fluent in the business language that makes analysis usable.
Programming & Analysis
Day-to-day tools for modelling, wrangling and automation.
PythonpandasNumPyRPySparkGitJupyter
Data & SQL Engineering
Modelling, pipelines and warehouse design.
Advanced SQLdbtAirflowSnowflakeBigQueryAzure SQLKimball modelling
Business Intelligence
Dashboard design, semantic layers and governance.
Power BIDAXPower QueryTableauLookerRLSSemantic models
Machine Learning & Statistics
From experiment design to deployed scoring pipelines.
scikit-learnLightGBMTime seriesA/B testingBayesian methodsMLflowSHAP
Business & Domain
Translating analysis into decisions stakeholders act on.
Stakeholder workshopsKPI designUnit economicsData storytellingRoadmapping
Proficiency
Where my depth sits
SQL & data modelling95%
Power BI & DAX92%
Python for analysis90%
Machine learning82%
Experimentation & stats85%
Stakeholder communication93%
Credentials
Certifications
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
- Microsoft Certified: Azure Data Engineer Associate (DP-203)
- Databricks Certified Machine Learning Associate
- dbt Analytics Engineering Certification