Data Analysis and BI
Turns scattered data into clear operational reading without hiding assumptions or analysis limits.
Contact
I do data analysis and automation with SQL, Python and Power BI. I build web apps with React, TypeScript and Next.js, including real-time interaction. Email and LinkedIn are the fastest channels.
Where I contribute
Each area has a published case or example, with the problem, the technical decisions and the outcome.
Turns scattered data into clear operational reading without hiding assumptions or analysis limits.
Reduces manual effort, improves predictability, and creates a base that is easy to evolve without exposing sensitive data.
Lets an indicator reach people without a BI licence, without giving up performance or accessibility.
The interface responds to movement without touch and without sending video to a server: processing stays on the user's machine.
How I work
The same path on any team: understand the decision, check the source, validate in the browser and against the data, and leave it documented.
Before opening the tool: which decision the screen or the indicator supports, and who uses it.
I establish origin, granularity, and limits of the data, and record what it cannot answer.
Component, model, or measure in short cycles, checking the result in the browser and against the source at each step.
Assumptions, decisions, and the refresh routine written down, so the team does not depend on me.
What I bring
To move faster
Nothing long. With these I can tell you the same day whether the profile fits.
The job description and the team it sits in.
Contract type, work format, and city.
The stack and the tools the team uses day to day.
The steps in the process and the timing you have in mind.
Next step
Write by email or LinkedIn. The PDF resume has the full background, and the case studies show the work in detail.