Data and research professional with a PhD in Neuroscience and over a decade of experience turning complex datasets into actionable insights. Grounded in a neuroscientific background with a deep interest in human behavior—applying this lens to data to better understand how people think, act, and perform across different contexts. Skilled in Python, R, SQL, and advanced statistical methods, with expertise in building predictive models, applying machine learning, and translating behavioral and performance data into strategies that drive measurable impact. Career spans roles across tech, corporate, and academic environments, leading projects in analytics, NLP, and data visualization, while ensuring GDPR-compliant practices and clear communication with stakeholders.
Passionate about applying scientific rigor and analytical innovation to solve real-world challenges. By combining deep technical expertise with strong collaboration and storytelling skills, thrives at the intersection of research, data science, and strategy—helping organizations make smarter, evidence-based decisions.