I am a Senior Data Scientist at John Lewis Partnership, based in London, UK. At the Partnership, I work on data science use cases in supply chain: I help the Commercial teams get the right amount of stocks to the right place, at the right time. This is achieved through simulation, optimisation, forecasting, machine learning and Gen-AI methods, providing insights and means to stakeholders to make data-informed and data-driven decisions.
I am a natural problem solver: I enjoy solving interesting problems on different topics. I turn abstract, complex real-world problems into concrete problem statements and solve them. I aspire to help extract useful information from the ocean of data, with which to assist people in making well-informed decisions. I hope to help advance the responsible and equitable use of trustworthy data science and artificial intelligence.
I have worked on a number of use cases in retail and manufacturing domains, with a strong track record of stakeholder engagement, product scoping, and mentoring. I am also effective at delivering high-impact solutions at pace in both large corporate and startup environments, as demonstrated in my current and previous roles.
My strong analytical skills are also evident from the 4 published papers in top physics journals during my PhD years.
I am a violin maker and violinist: when I am not working, you will find me either playing the violin or making one.