Kyle Benjamin

Currently an analytically-minded Data Scientist with two years experience specialising in retail data domains and a passion for leveraging data-driven insights to solve complex problems. Experience in utilising advanced statistical techniques and machine learning algorithms to extract meaningful patterns from large datasets. Skilled in data visualisation and communication, adept at translating technical findings into actionable insights for stakeholders. Experience leading and delivering in an agile and scrum team on multi-million-pound client engagements. Keen eye for using data to identify opportunities for growth, product enhancement and cost reduction. 

Designed, trained, tested, and deployed a Metadata scraper and document analyzer on Microsoft Azure to enhance organizational efficiency and speed, collaborating with senior AI leaders to develop a structured and unstructured end-to-end data solution with automatic data ingestion, visualization, and reporting capabilities. Additionally, automated and visualized product and service engagement pipelines using power automate tools, leveraged Optical Character Recognition (OCR) for data extraction during the Women in Data project, and implemented a serverless transaction processor for ASDA that significantly increased transaction throughput. Pitched generative AI tools to Brompton Bikes CEO, created internal centralized knowledge sites, and consistently received recognition for high performance in annual reviews and apprentice newsletters. Collaborated on market research presentations, assisted with data processing for Black Rifle Coffee Company, and delivered data and AI proposals for retail shrink issues. Additionally, researched and reported on disparate data sources within the organization for data aggregation and enrichment, attended a hackathon for AS Watson, and developed visual reports for global operations. Continuously worked to enhance skills and knowledge of the evolving data science landscape.

Currently pursuing a Level 5 and 6 BSC (Honours) in Data Science at Multiverse in London, United Kingdom, with an expected completion date of June 2023. Previously completed a Level 4 Data Analytics course at the same institution, receiving a Merit (B) grade. Prior education includes a BTEC Level 3 Extended Diploma in Business at Uxbridge College with a DDD (AAA) grade, a BTEC Level 2 Extended Business course with a Merit (B) grade, and GCSE qualifications from Douay Martyrs Catholic Secondary School in London