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Gabriele SollaiGS
Open to opportunities

Gabriele Sollai

@gabrielesollai

I build automated data platforms and analytics that cut reporting effort and improve marketing decisions.

Italy
Message

What I'm looking for

I'm looking to build data platforms, automated reporting, and decision-ready analytics that create measurable impact across complex business or marketing environments.

At WPP Media, I build and maintain automated reporting for a multinational FMCG group across more than five markets using Airflow and BigQuery, reducing manual reporting effort by 70%.

I shipped a Power BI feature that uses an LLM API to generate monthly trend summaries for client leads, then restructured its logic to reduce token costs by 85%. I also run Amazon Marketing Cloud analysis and audience building with SQL, helping move budget toward segments with proven incremental conversion across more than 20 accounts.

Previously at Deloitte Risk Advisory, I designed anti-fraud Power BI dashboards for a Tier-1 Italian bank, replacing a 14-day reporting cycle with daily refreshes while working within Bank of Italy, ECB, and GDPR constraints.

I'm a Statistical Sciences for Finance graduate and Google Cloud Professional Data Engineer. Outside work, I'm an Italian National Taekwondo Champion with more than 20 years of international competitive experience.

Experience

Work history, roles, and key accomplishments

WPP Media (WPP) logoWW
Current

Senior Associate, Data, Technology and Analytics

Sep 2024 - Present (1 year 11 months)

Built and maintain automated reporting stack for a multinational FMCG group across 5+ markets, reducing manual reporting effort by 70%. Designed Power BI features integrating LLM APIs and standardized cross-channel KPIs.

Education

Degrees, certifications, and relevant coursework

Università degli Studi di Salerno logoUS

Università degli Studi di Salerno

Master of Science, Statistical Sciences for Finance

2019 - 2022

Grade: 110/110 cum laude

M.Sc. in Statistical Sciences for Finance, graduated with 110/110 cum laude. Coursework included Stochastic Finance, Statistical Inference, Risk Management Models, and Stochastic Processes.

Tech stack

Software and tools used professionally

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