I turn business data into actionable insights that help organizations understand performance, identify opportunities, and make better decisions.
My background combines commercial leadership, operational performance, customer analytics, and business intelligence, giving me both the business context and technical capability needed to connect data with real business outcomes.
- Analyze business and operational data to uncover trends, anomalies, and performance drivers
- Build Power BI dashboards and KPI reporting that make business performance easier to understand
- Use SQL and Python to clean, transform, validate, and analyze data
- Develop analytical datasets and data models for reliable reporting
- Translate business questions into measurable metrics and analytical solutions
- Investigate performance gaps and identify opportunities for improvement
- Apply data quality and governance practices to improve reporting reliability
- Turn analytical findings into clear, decision-ready business insights
- Power BI
- DAX
- Power Query
- Data Visualization
- KPI Development
- Executive & Operational Reporting
- SQL
- Python
- Pandas
- Excel
- PostgreSQL
- Data Analysis
- Statistical Analysis
- Forecasting
- ETL / ELT
- Data Modeling
- Dimensional Modeling
- Data Validation
- Data Quality Monitoring
- Data Warehousing
- Commercial Performance
- Revenue Analytics
- Customer Analytics
- Sales Analytics
- Operational Analytics
- Funnel & Conversion Analytics
- Marketing Analytics
- Performance Management
- Decision Support
An end-to-end business intelligence platform integrating commercial data to provide visibility into pipeline, sales, customer, revenue, and operational performance.
Built with: SQL • Python • Power BI • DAX • ETL • Data Modeling
Focus areas:
- Revenue & sales analytics
- Pipeline performance
- Customer intelligence
- KPI development
- Executive reporting
- Revenue forecasting
- Operational performance
An analytical solution designed to evaluate marketing effectiveness, channel performance, ROI, and budget allocation.
Built with: Python • Statistical Modeling • Power BI • Data Analysis
Focus areas:
- Marketing effectiveness
- Channel contribution
- ROI analysis
- Revenue impact
- Scenario modeling
- Budget optimization
An end-to-end analysis of the customer acquisition funnel to identify conversion gaps, funnel leakage, and opportunities to improve customer acquisition performance.
Built with: Python • Pandas • SQL • Cohort Analysis • Data Visualization
Key analysis:
- 500+ leads analyzed across funnel stages
- Identified a 47.5% MQL-to-SQL drop-off
- Examined conversion performance across channels
- Identified funnel bottlenecks and growth opportunities
A data quality and governance solution focused on improving the accuracy, completeness, consistency, and reliability of decision-critical data.
Built with: Excel • Power Query • Data Validation • Data Quality Monitoring
Focus areas:
- Data completeness
- Accuracy validation
- Duplicate detection
- Anomaly identification
- Data consistency
- Governance controls
- Reporting reliability
An operational analytics solution designed to identify stockout risk, overstock exposure, lost-sales opportunities, and inventory planning issues.
Built with: Tableau • Data Analysis • Supply Chain Analytics
Focus areas:
- Inventory risk
- Stockout analysis
- Overstock analysis
- Lost-sales analysis
- Supplier performance
- Warehouse allocation
A workforce analytics platform designed to support headcount planning, workforce utilization, hiring strategy, and organizational performance.
Built with: Power BI • DAX • Python • Data Modeling
Focus areas:
- Workforce forecasting
- Headcount planning
- Staffing gaps
- Utilization analysis
- Recruitment analytics
- Attrition monitoring
I believe effective Business Intelligence follows a simple progression:
Business Question → Data → Analysis → Insight → Decision → Business Outcome
A dashboard is only useful when it helps someone understand:
What is happening?
Why is it happening?
What should we do next?
That principle guides how I approach analytics, reporting, data modeling, and business intelligence solutions.
- Business Intelligence
- Commercial Analytics
- Revenue Analytics
- Customer Analytics
- Operational Analytics
- Performance Analytics
- Data Quality & Governance
- Executive Reporting
- Decision Support
- Process & Performance Improvement
| Area | Tools |
|---|---|
| BI & Visualization | Power BI, Tableau |
| Querying | SQL |
| Programming | Python, Pandas |
| Database | PostgreSQL |
| Data Transformation | Power Query, Pandas, SQL |
| Modeling | Data Modeling, Dimensional Modeling |
| Reporting | Power BI, Tableau, Excel |
| Analytics | Forecasting, Cohort Analysis, Funnel Analytics, Marketing Analytics |
| Data Quality | Validation, Monitoring, Governance |
I'm focused on building practical Business Intelligence solutions that connect:
Business Understanding + Data + Technology
to produce:
Better Data → Better Insights → Better Decisions → Better Business Outcomes
I'm interested in opportunities involving:
- Business Intelligence
- BI Analysis
- Data Analytics
- Commercial Analytics
- Revenue Analytics
- Operational Analytics
- Performance Analytics
📍 Ontario, Canada