Scientific Mind, Data Heart
My path from biology and bioinformatics to data leadership gives me a unique perspective: I approach every challenge with the rigor of the scientific method and the curiosity of a researcher. Hypotheses first, then data.
Turning data into impact
with scientific rigor, strategic vision
and a passion for sustainability
Tech Lead · Machine Learning · Data Engineering
My goal is to make a meaningful difference through the intelligent use of data and AI. I want to build products that don't just optimize metrics, but genuinely help organizations make better, more sustainable decisions. I believe that the intersection of technology and environmental responsibility is where some of the most important work of our generation happens.
My work is guided by curiosity, scientific rigor, and the conviction that the best solutions emerge when diverse perspectives come together.
My path from biology and bioinformatics to data leadership gives me a unique perspective: I approach every challenge with the rigor of the scientific method and the curiosity of a researcher. Hypotheses first, then data.
Whether it's a data platform, an ML pipeline, or a team - I thrive on building things from the ground up. I find deep satisfaction in creating scalable architectures and watching them grow into something that delivers real value.
Growing from analytics engineer to director in eight years taught me that the best decisions come from a clear head. When deadlines collide and priorities shift, I stay focused and keep the team moving forward.
I'm driven by the belief that data and AI can accelerate the transition to a more sustainable world. My master's thesis on tropical forest ecosystems wasn't just academic - it shaped my conviction that technology should serve the planet.
As a Data & AI Leader, I combine deep technical expertise with strategic thinking. My journey from studying biological systems to building data products taught me that the most powerful insights emerge from connecting disciplines. Over 8+ years at Creditsafe, I progressed from Analytics Engineer to Director of Data & Product - building scalable data platforms, leading cross-functional teams, and bringing machine learning from prototype to production.
My leadership style is hands-on and collaborative. I believe the best results come when technical excellence meets clear communication and shared purpose. I prioritize empowering my team, fostering a culture of experimentation, and maintaining the kind of transparency that builds lasting trust.
Designing and building scalable data platforms, ETL pipelines, and modern data stacks that form the backbone of data-driven decision making.
Developing and deploying ML models in production - from statistical modeling to deep learning and MLOps.
Growing and leading cross-functional data teams, aligning technical roadmaps with business goals, and driving product thinking in data organizations.
Championing responsible AI practices and leveraging data products to support environmentally conscious decision making.