Data analyst. Consultant. Trainer.

Data Quality
matters.

I'm Vitalie Ciobanu.
For nearly two decades I've turned data people didn't trust into a foundation the business could actually rely on.
And I help teams do the same.

Barcelona, Spain. freelance
Portrait of Vitalie Ciobanu
20+ years in enterprise IT
20+ certifications - Microsoft. ITIL. VMware. edX
Power BI lecturer at EAE & OBS Business Schools
About me

Someone has to say it.


If every new project somehow leads you back to the same two taboo words, don't worry - you're not alone. Data Quality matters.

I've spent nearly two decades with some of the world's largest multinationals proving exactly that. At PepsiCo, I designed the processes that lifted CMDB and asset data accuracy from the mid-60s to near-100% across Europe. Then I took that data-quality and governance work global, turning data people didn't trust into a foundation the business could actually run on.

That thread runs through everything I do: building reliable data, automating the manual work around it, and turning raw numbers into clear insight through interactive dashboards, data-quality checks, and hands-on Power BI and Excel training.

More about my professional background is on LinkedIn, or in my full CV.

What I do

Three ways I put your data to work.


Data analysis

Turn messy, unreliable data into a single source of truth you can actually base decisions on.
Data-quality audits that surface the errors quietly costing you time and money; with a clear, prioritized plan to fix them.

Training and consultancy

Hands-on Excel, Power Query and Power BI training that turns your team into confident, self-sufficient analysts, so they stop waiting on reports and start building their own.
Practical guidance to get more value from the data and tools you already have, without buying anything new.

Interactive reports and dashboards

Interactive Power BI dashboards that replace hours of manual reporting and let you see your whole business at a glance.
Built-in filters and drill-downs so stakeholders answer their own questions instead of coming back to you for every number.

Track record

The work behind the thesis.

Examples of what disciplined data quality actually returns - measured, not claimed.

65% → ~100%

Accuracy people could finally trust

At PepsiCo I designed the processes that lifted CMDB and asset data accuracy from the mid-60s to near-100% across Europe - then rolled that governance model out globally.

$3M / month

Automated a manual cross-charge

I built a tool that runs a monthly cross-charge of around $3M USD end to end, saving roughly two weeks of work for two people, every single month.

XX% → YY%

Health scored across the whole estate

At Experian I owned and led the team behind a report that scored the health of the entire desktop and laptop estate against agreed key metrics - current state and historical trend together - so teams could see at a glance whether the fleet was getting healthier or slipping.

$1.2M saved

Reconciled Windows Server licensing

Through exhaustive analysis of host configuration and real usage data, I reconciled Windows Server licensing across a fleet of ESX hosts - matching each host's assigned CPUs against the edition running on it (Standard vs Enterprise) and how many of each sat on the same server. Reconciling business services and moving them onto shared hosts instead of single servers saved around $1.2M in licensing costs.

Contact

Let's fix the data
you can't trust.

Enterprise data governance, an SME dashboard, or Excel & Power BI training for your team - tell me what you're working on and I'll come back with a straight answer.

Based in
Barcelona, Spain
Availability
Freelance projects & training