Data Analytics & Business Intelligence

Helping businesses create space to grow through better data.

I build reporting solutions that turn scattered spreadsheets and disconnected systems into clear dashboards and actionable insights.

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Same data. Before → after.
Services

Practical analytics support for growing businesses.

01

Dashboard Development

Interactive Power BI dashboards that give you instant visibility into the metrics that matter most.

02

Reporting Automation

Eliminate repetitive reporting by automating data collection, transformation, and visualization.

03

Business Intelligence

Turn your business data into decisions with meaningful KPIs and executive reporting.

04

SQL & Data Management

Organize and optimize your data so reporting is accurate, reliable, and scalable.

Why work with me

Technology should simplify your business, not complicate it.

I work directly with business owners and teams to understand how they operate before building solutions that actually solve problems.

  • Simple to understand
  • Easy to maintain
  • Built for real business decisions
  • Designed to save time
Experience

Analytics engineering with a business-first approach.

I've worked with organizations across multiple industries to improve reporting, streamline workflows, and help teams make better decisions with their data.

Power BI SQL Python Microsoft Fabric Data Modeling Dashboard Design Process Automation
Process

How a project comes together.

01

Discover

Learn your business and understand your reporting challenges.

02

Design

Create dashboards and reporting solutions tailored to your goals.

03

Deliver

Launch a solution that's easy to use and built to grow with your business.

Portfolio

Featured project: retail analytics, end to end.

Luma Retail executive dashboard built in Power BI, showing revenue to budget, top product sales, international revenue by country, and revenue by category

Luma Retail — Sales & Revenue Dashboard

Data pipeline · Data model · Power BI report

A complete analytics solution built from raw transaction data. A Python script ingests and cleans real retail invoice data, lands it in Azure Data Lake Storage, and Synapse serverless SQL shapes it into a star schema — powering a Power BI dashboard that tracks revenue against budget, top products, international sales, and category performance.

Python Azure Data Lake Gen2 Synapse Serverless SQL Star Schema Power BI
Architecture diagram: UCI Online Retail dataset ingested by a Python script into Azure Data Lake Storage Gen2, modeled with Synapse serverless SQL into a star schema, and reported in Power BI
Pipeline architecture — from raw data to report.
Power BI model view showing a star schema: f_transactions fact table related to d_date, d_customers, d_products, and d_country dimension tables
Star schema model — one fact table, four dimensions.

Ready to spend less time managing reports?

Whether you're looking to build your first dashboard or improve an existing reporting process, I'd love to hear about your business.

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