Python
A results-driven global leader with over 15 years of experience in revenue growth, operations management, and process optimization, I specialize in transforming AI into a practical business tool that drives efficiency, compliance, and growth. Having led transformation projects at global blue-chip companies like Johnson Controls, Arvato, and UPM, as well as high-growth startups like Oyster, I have firsthand experience in bridging the gap between AI strategy and real business transformation.
AI projects often fail not due to poor technology, but poor implementation. I focus on delivering measurable ROI by aligning AI initiatives with business needs, ensuring that organizations successfully integrate AI without disrupting operations. My expertise spans AI adoption, process optimization, and automation, particularly in Finance (O2C), Customer Service, and Data Governance, using AI to reduce costs and drive operational efficiency.
Additionally, I help businesses implement ethical AI frameworks to ensure compliance, transparency, and accountability, mitigating risks and building stakeholder trust.
Currently pursuing a Master’s in Artificial Intelligence, I am committed to mastering the development and optimization of AI models to solve real-world business challenges. I am passionate about helping organizations realize the full potential of AI and turn it into a competitive advantage.
Process Optimization & Automation
Python
SQL
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