Experienced Data Scientist and Researcher with a Passion for Data-Driven Innovation With a solid foundation in computer science and telecommunications, I hold a Master’s degree in Computer Science and Business Informatics and a PhD from King’s College London in Telecommunications.
I am now focusing my expertise on transitioning into the business sector as a data analyst/scientist. My work includes academic research and hands-on industry projects, where I’ve developed advanced skills in data analysis, machine learning, predictive modeling, and visualization.
My academic and professional journey has equipped me with strong algorithmic knowledge, critical thinking, and communication abilities—all vital for analyzing complex datasets and deriving actionable insights.
I am experienced in translating data into meaningful narratives that drive decision-making across various industries. As a Scientific Collaborator at HEG and UNIGE, I deepened my passion for data by building predictive models and optimizing data systems within the shipping and healthcare sectors. These experiences sharpened my ability to approach projects holistically, from conception to completion, while uncovering the potential of data to provide actionable business insights.
I am committed to lifelong learning and staying at the cutting edge of technology. Whether through advancing my skills in Python, R, or exploring the latest tools for data visualization, my goal is to effectively translate data into impactful insights for diverse stakeholders.
With a commitment to continuous learning, I aim to stay ahead of emerging trends and tools, ensuring that my approach to data remains both innovative and impactful, contributing meaningfully to business success.
