About
Senior BI and analytics expertise, expanding deliberately into what's next.
I'm a Senior Business Intelligence Analyst with 5+ years of experience delivering executive reporting, dashboard development, data quality, data governance, KPI reporting, reporting automation, and operational analytics — mainly through SQL and Power BI, with Python and AI-assisted workflows supporting the work naturally as needed.
Alongside that core BI practice, I'm intentionally expanding into Analytics Engineering, the Microsoft Power Platform, and AI-assisted enterprise solutions — documented on this site as a developing specialization, not existing production experience.
DataCamp Certified Data Analyst and SQL Associate, with IBM Business Intelligence (BI) Essentials.
This site is the technical companion to my primary Business Intelligence resume and portfolio (Version A), which covers BI leadership, governance, and executive reporting in more depth. This site adds detail on where I'm expanding next — Analytics Engineering, the Microsoft Power Platform, and AI-assisted solution design.
The journey so far
Business Intelligence
Executive dashboards and reporting foundations
Reporting & Analytics
KPI design, financial and operational analysis
Automation
Reporting and workflow automation to remove manual effort
Analytics Engineering
Dimensional modeling, validation, configuration-driven platforms
Power Platform
Extending BI into low-code apps, workflow, and governed data
AI-Assisted Business Solutions
Using AI to accelerate design while keeping humans in the loop
My Approach
Technology supports the story. Business improvement is the story.
I believe the purpose of analytics extends beyond reporting. The real value comes from improving how people work, strengthening business processes, increasing data quality, and enabling better decisions. My approach combines Business Intelligence, analytics, automation, and AI-assisted solution design to create practical solutions that reduce manual effort, improve governance, and deliver measurable business value.
Transforming Business Processes Through Analytics, Intelligent Automation, and Data-Driven Decision Making
Business Understanding
Start from the business challenge, not the tool.
Current-Process Analysis
Understand how the work actually happens today, and where it breaks down.
Pain-Point & Root-Cause Analysis
Diagnose the specific problem, not just its symptoms.
Requirements & Data Analysis
Analyze the data available and define what a solution needs to do.
Solution Architecture & Design
Design a practical solution scoped to the actual problem.
Analytics & Automation Development
Build the reporting, analytics, and automation the design calls for.
Validation
Validate results with the stakeholders who'll actually use them.
Deployment
Deploy into real operational use, not just a demo.
Measuring Business Impact
Measure the outcome against the original business challenge.
Continuous Improvement
Treat the solution as a starting point, not a finish line.
Business Value
How I Create Business Value
Organized around outcomes, not tools — every item below ties back to specific work in my Professional Experience or Projects.
Strengthening Data Governance
CRM health standards, structured QA workflows, and reporting standards built to hold up under audit, not just look good in a demo.
Automating Manual Processes
Replaced manual Excel and internal-system workflows with automated reporting at Vector — real hours saved, not just a cleaner spreadsheet.
Increasing Reporting Efficiency
Daily, weekly, and monthly KPI reporting engineered to run consistently instead of being rebuilt by hand each cycle.
Supporting Executive Decision-Making
Advised C-suite leaders at JACCS through executive reports and strategic presentations grounded in the underlying data.
Standardizing Business Processes
Structured quality-assurance workflows and reporting standards that replaced ad hoc, inconsistent processes at every stop.
Improving Operational Visibility
Power BI monitoring views that surface data-quality and performance issues before they become executive-level problems.
Enabling Cross-functional Collaboration
Coordinated stakeholders across departments at JACCS around shared business goals and reporting requirements.
Building Scalable Reporting Solutions
Configuration-driven platforms like ESIP, designed to be reconfigured for new data rather than rebuilt from scratch.
Driving Continuous Improvement
Root-cause analysis and process-improvement action built into the day-to-day work, not a separate initiative.
Career Direction
Where my Business Intelligence foundation is intentionally headed next.
This is direction, not current employment experience. My professional background is Business Intelligence and Analytics — the areas below are where I'm deliberately investing my learning and personal project time right now.
Analytics Engineering
Dimensional modeling, validation frameworks, and configuration-driven data platforms, built on top of BI reporting fundamentals.
Microsoft Power Platform
Extending Power BI reporting into Power Automate, Power Apps, and Dataverse for governed, low-code business applications.
Python Automation
Using Python to accelerate data preparation, validation, and reporting pipelines that previously required manual effort.
AI-Assisted Business Solutions
Applying AI as an accelerant for solution design, with human review built into every workflow.
Enterprise Data Quality
Formalizing the data-quality and governance discipline from my BI work into repeatable, documented frameworks.
Workflow Automation
Reducing manual, spreadsheet-driven processes through structured, auditable automation.
Data Governance
Single, agreed KPI definitions and clear ownership — the foundation every reporting layer above it depends on.