Rory James
Summary
I am a dynamic and results-driven data science professional with a strong foundation in data analysis, visualization, and cleaning. Over five years experience, two years as a data analyst at Creditsafe and three years experience at the Office for National Statistics, complemented by a comprehensive education in data science. Proven expertise in using Python and SQL for data management, coupled with excellent communication and teamwork skills developed through a successful degree apprenticeship. Confident in delivering insights through compelling visualizations and clear presentations to diverse audiences.
Overview
6
6
years of professional experience
Work history
Data analyst
Creditsafe
Cardiff
2024.02 - Current
- Performed data mapping between multiple systems, supporting seamless data integration and migration processes
- Documented new data elements to ensure clarity and consistency with a focus on supporting accurate and reliable outputs for customers
- Took ownership of time-sensitive deliverables, working flexibly outside standard hours to ensure deadlines were consistently met without compromising quality
- Contributed to the onboarding of new team members by providing guidance on data processes and best practices, supporting a smooth and efficient transition into the role
- Communicated with data partners to support the delivery of products during data system migrations, ensuring continuity and data integrity
Data Science Apprentice / Graduate
Office for National Statistics, ONS
Newport / WFH
2020.09 - 2024.02
- Completing data analysis and visualization using Python, including projects in the Methodology department, where I analyzed and visualized the impact of weighting specific laptop brands differently on tracking changes in tech goods prices
- Utilized web scraped data to compare weighted quantities with actual quantities, providing valuable insights for future analysis
- Proficient in SQL for data management, contributing to efficient data processing and analysis
- Collaborated on delivering a presentation during National Apprenticeship Week, showcasing the experience of being a data science apprentice and providing an overview of ONS
- Utilized PowerPoint and visual demonstrations to engage audiences
- Conducted an in-depth analysis of the impact of Covid-19 on air travel and the industry during my university's end-of-year project
- Applied data preprocessing and cleaning techniques in Python, linking multiple datasets for comprehensive insights
- Overcame challenges in a new department and project, adapting to writing code in PySpark as before it had predominantly been written in Python overcoming errors through diligent research and practice.
Education
Bachelor of Science - Applied Data Science
Cardiff Metropolitan University
Cardiff 9 2020 - 6 2023
Skills
- Programming Languages: Python, SQL, PySpark
- Data Analysis: Exploratory Data Analysis (EDA), Statistical Analysis
- Data Visualization: Matplotlib, Seaborn, Plotly
- Data Cleaning: Pandas, NumPy
- Teamwork and Collaboration
- Self-Motivated
- Communication: Clear and effective verbal and written communication
- Flexible and Adaptable
- Willingness to learn
- Natural language processing (NLP)
Accomplishments
- Proven ability to collaborate effectively in diverse teams
- Presentation: Confident delivery of presentations to technical and non-technical audiences
- Adaptability: Successfully balanced full-time remote work with university studies.
References
Available on request
Timeline
Data analyst
Creditsafe
2024.02 - Current
Data Science Apprentice / Graduate
Office for National Statistics, ONS
2020.09 - 2024.02
Bachelor of Science - Applied Data Science
Cardiff Metropolitan University
9 2020 - 6 2023