Akhid Rahman

Akhid Rahman is a Senior Data Analyst and Scientist at the Financial Conduct Authority since March 2022, specializing in Digital, Technology, and Intelligence with a strong focus on Natural Language Processing and API integration. Key contributions include converting a social media data pipeline from R to Python, designing Tableau dashboards for insight generation, and leveraging Machine Learning and Large Language Models to enhance process automation. Previously, Akhid worked as an Associate Data Analyst at KX, where projects involved surveillance of illegal trading activity and financial data ingestion for investment strategies. Additionally, a Research Analyst role related to Explainable Artificial Intelligence was held at Alliance Manchester Business School, centered on developing a Machine Learning Lead Score Model for a construction company. Akhid holds a Master of Science in Business Analytics from The University of Manchester and a Bachelor of Science in Economics from the University of East London.