Description

As a senior project manager, I help businesses streamline operations, optimise resources, and drive efficiency through expert project execution. With experience at Netflix, Amazon, and CUBAN Global, I have successfully led high-impact projects, cut operational costs, and delivered results that fuel business growth.

I specialise in:

✅ End-to-end Project Management – From planning to execution, ensuring on-time, high-quality delivery.

✅ Process Optimisation – Reducing inefficiencies and enhancing team productivity.

✅ Risk & Compliance Management – Identifying and mitigating risks to safeguard business success.

✅ Technology-Driven Solutions – Implementing innovative tools to improve workflow and outcomes.

Fluent in English, Turkish, and Italian, I bring a global perspective to project management, ensuring smooth collaboration across diverse teams and markets.

🚀 Need a results-driven project manager to take your business to the next level? Let’s connect and make it happen!

Languages

Italian
Native or bilingual
Turkish
Native or bilingual
English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Netflix
Sr. Project Manager
March 2023 - August 2024 (1 year and 5 months)
London, UK

- Led cross-functional teams to streamline operations and cut costs, achieving a 15% efficiency boost.
- Developed project roadmaps to maximize revenue growth and enhance strategic execution.
- Managed project resources, eliminated risks, and ensured on-time delivery of high-quality results.
CUBAN Global | Küresel
Head of Strategy
August 2021 - October 2022 (1 year and 2 months)
Rome, Metropolitan City of Rome Capital, Italy

- Spearheaded business development strategies, securing new regional partnerships, and market expansion.
- Identified growth opportunities and improved company positioning.
- Provided legal and regulatory insights to align strategies with compliance standards.
Amazon
Lead Of Abuse Risk
March 2020 - July 2021 (1 year and 4 months)
London, UK

- Designed fraud prevention systems using machine learning, reducing abuse by 30%.
- Managed risk assessment teams to analyze millions of transactions, improving security and compliance.