Demo Recording
AI Augmentation Demo — 7 min
Watch Claude AI connect live to the Power BI file, generate dim_date, build the data
dictionary, and create the GitHub README — all in one session.
Data Analyst · BI Developer · Analytics Engineer
I turn raw data into business decisions — using Power BI, Snowflake, SQL, and AI augmentation to build analytics that actually get used.
I turn raw data into decisions. My stack: Snowflake for data modelling and Medallion Architecture, Power BI and Tableau for executive dashboards, SQL and Python for pipelines, and Claude AI connected live via MCP for AI-augmented analytics. End-to-end, no handoffs.
Across 7 portfolio projects I've processed 2.45M scooter trips, 48,890 patient records, 27,364 insurance policies, and 1,000 AI-scored support tickets. I've built star schemas, Medallion pipelines, 25-measure DAX models, and a live Salesforce-to-Power BI API connection — all documented on GitHub.
Prior roles: Head of Reporting at the Bank of Azerbaijan, Reporting Manager at Azerbaijan's Ministry of Economy where I calculated the national inflation rate, and Salesforce Developer at Arc'teryx building and maintaining automation processes from data input to reporting and dashboards. Each role was fundamentally about data accuracy, pipeline reliability, and reporting that stakeholders trusted.
Open to Data Analyst, Analytics Engineer, or BI Developer roles in Victoria or remote across Canada.
AI-augmented people analytics. Claude AI connected live to Power BI via MCP. 4 report pages: Workforce Snapshot, Attrition & Retention, Talent Acquisition, Insights & Recommendations.
Snowflake Cortex AI LLMs to score 480 support tickets using SENTIMENT() and COMPLETE() functions, visualised in Power BI.
Full Medallion Architecture (Bronze→Silver→Gold) in Snowflake with 6-page executive Power BI dashboard.
48,890 patient records, $97M billed. Star schema with 6-page Power BI dashboard covering admissions, billing, and outcomes.
Live Salesforce API connection to Power BI with conversion funnel, revenue visuals, and pipeline health.
End-to-end pipeline on 27,364 auto insurance policies ($40.6M premium). Decomposed Loss Ratio into Frequency × Severity — surfaced a 37-point gap invisible to single-variable analysis.
Full Medallion Architecture on 2.45M scooter trips. Central Austin generates 75% of trips at below-average revenue ($7.78 vs $8.70 network average) — modelled surge pricing as the fix.
Open to Data Analyst, Analytics Engineer, and BI Developer roles in Victoria BC or remote anywhere in Canada. Always happy to talk data, Power BI, Snowflake, or AI-augmented analytics.