Ngwam Alfred

A highly analytical and results-oriented Data Analyst with a strong foundation in Data Science, including expertise in SQL, Python, and Power BI. Possesses over two years of experience in the NHS, where reporting efficiency was improved by 30% through data automation and interactive dashboards were developed to visualize key performance indicators. Eager to leverage advanced statistical modeling and machine learning skills to drive data-driven improvements and contribute to innovative projects as a Graduate Data Analyst/Scientist.

Data Analyst - Guy's & St Thomas' NHS Foundation Trust - London, United Kingdom

(2023-09 - 2025-09)

• Analyzed large and complex healthcare datasets to uncover actionable trends, patterns, and insights into patient and client behavior.
• Wrote SQL queries to extract and transform data from hospital databases
• Supported the entire product lifecycle with robust data analysis, from initial research to development.
• Developed interactive Power BI dashboards to visualize key hospital performance indicators.
• Identified trends in patient flow and service demand to improve operational efficiency.
• Collaborated closely with Engineering team to support their data needs and help them make data driven decisions.
• Increased reporting efficiency by 30% by automating data extraction, transformation, and visualization processes.

MSc - Data Science - Lancaster University (2025-09)

MSc - Mechanical Engineering - National Polytechnic Douala (2013 - 2018)

A-Level - Sciences - Government Bilingual High School (2005-09 - 2012-06)