I provide data analysis and reporting services designed to help teams understand their data and make better business decisions.

My work starts with understanding the data you already have. I analyze raw and structured datasets using SQL and analytical techniques to identify trends, patterns, and performance gaps. This includes cleaning data, validating numbers, and defining clear metrics so the results are accurate and consistent.

A key part of my work is turning analysis into something usable. Instead of complex spreadsheets or unclear charts, I build simple, well-structured dashboards and reports that focus on what matters most. These dashboards highlight key metrics, performance trends, and insights in a way that is easy to interpret, even for non-technical users.

I approach every project with a structured and engineering-oriented mindset. This means the analysis is not just correct once, but organized in a way that can be reused, updated, and scaled as data grows. I pay close attention to logic, edge cases, and data consistency to ensure reliable outputs.

I also focus strongly on clarity and design. How insights are presented is just as important as the analysis itself. My reports are clean, readable, and designed to support quick understanding and decision-making.

Overall, my goal is to help clients move from raw data to clear insights, so they can confidently use data to guide actions and strategy.