As a data professional with a passion for data science and Bayesian methods, my work is mostly focused on topics such as advanced analytics, machine learning, MLOps solutions, experimental design and causal inference, data pipelines, software development practices, architecture, and business intelligence. My expertise lies in Python, various public cloud platforms, and SQL technologies.
Throughout my career, I have built up a proven track record in driving growth and efficiency through proficient and innovative ways to use data. I am also a strong collaborator and communicator, with varied experience in circular economy and consulting.
Some things I have to show for myself:
- Developing and deploying an in-house marketing mix model with successful adoption
- Extracting insights from challenging experimental designs with robust analysis
- Designing and building a modern marketing data warehouse
- Creating permanent efficiency gains in marketing activities through API-based automation projects
Despite the deeply technical nature of my achievements, my focus is on always ensuring that adoption happens in tight collaboration with business-side stakeholders.