Pioneering Data Science and Ethical AI in Finance and Beyond
John Sandall is the CEO and Principal Data Scientist at Coefficient, leveraging his extensive experience in data science and software engineering across various industries. His passion for data-driven solutions led him to create SixFifty in 2017, a project aimed at predicting UK General Elections using open data and advanced modeling techniques. John's diverse background includes roles as Lead Data Scientist at YPlan, business analytics at Apple, and genomics research at Imperial College London. He is actively involved in the data science community, co-organizing PyData Bristol and co-founding Humble Data to promote diversity in the field. As a Fellow of Newspeak House, John focuses on open data, AI ethics, and tech diversity. At ACCA, he teaches "Machine Learning with Python for Finance Professionals" and contributes to the "FinTech for Finance and Business Leaders" Professional Certificate program, helping finance professionals harness the power of data science and emerging technologies in their careers