A passionate researcher with a PhD in English and Italian Renaissance Literature, I've delved deep into the intricacies of proto-feminism in Renaissance poetry. My academic pursuits have ingrained in me the value of rigorous analysis and the art of communicating complex ideas, a combination that naturally led me to the dynamic world of data science. Having completed an intensive Data Science and Machine Learning bootcamp in Berlin, I've acquired hands-on expertise in Python, data visualisation, and advanced analytics. In my professional journey, I've analysed quantitative and qualitative data to derive actionable insights for C-suite executives, automated email marketing processes using Python, and have even penned a book on the history of vintage bicycles. Beyond the numbers and narratives, I'm an avid long-distance runner, a bicycle enthusiast (owning 5 and having built two from scratch), and a music lover who has played in rock bands. I believe in continuously evolving and leveraging my diverse background to bring a unique perspective to data analysis. I'm excited to bridge my analytical and communicative prowess, harnessing the power of data to drive impactful decisions and strategies.