ABOUT

Senior data and software work, without the agency handoff.

MESH Data Solutions is the independent practice of Mehmed Kadrić. The person in the first call is the person responsible for the analysis, implementation, and readout.

I am Mehmed Kadrić, a software engineer with 8+ years across data science, custom software, data quality, geospatial data, applied AI, and production systems.

I started MESH Data Solutions for a simple reason: small operational teams often have a real data problem but do not need a large consultancy. They need a senior person who can inspect the evidence, explain the failure clearly, and leave behind a practical next step.

The starting offer is deliberately narrow. A Data Quality Audit measures the problem before anyone commits to a cleanup project, integration, dashboard, or new internal tool.

Portrait of Mehmed Kadrić, founder of MESH Data Solutions
Mehmed Kadrić, founder of MESH Data Solutions.

WORKING MODEL

What founder-led means in practice.

01

Direct context

No sales-to-delivery relay. I hear the problem directly and remain accountable for the scope.

02

Evidence before build

The audit separates facts from assumptions before cleanup or automation work begins.

03

Useful handover

You receive reproducible checks, explicit rules, and a roadmap your internal team can use.

Tell me where your data breaks down.

Request an Audit