π Data Scientist | Passionate about turning data into insights
π United Kingdom
π§ Email: olivercareyncl@gmail.com
π LinkedIn: olivercareyncl
π¨βπ» GitHub: olivercareyncl
With a solid foundation in data analytics and over 2 years of experience, I am now a data scientist for the Health Economics Unit, bringing insights and predictive analytics to health economics. Iβm actively growing my career in data science and machine learning while exploring the exciting realms of Web3, blockchain, and AI. Passionate about leveraging data to tackle complex challenges and drive innovation.
- Data Scientist - Health Economics Unit (March 2025 - Present) Applying data science techniques to health economics research and supporting decision-making with predictive models and advanced analytics.
- Graduate Project Support Officer - NHS England, Insights & Analytics Team (July 2023 - Feb 2025)
Delivering data-driven insights and developing predictive analytics solutions to enhance decision-making processes in healthcare.
- Languages: Python, R, SQL
- Frameworks & Libraries: Scikit-learn, TensorFlow, Pandas, NumPy, Matplotlib, Seaborn, Plotly
- Tools: Power BI, Tableau, RStudio, Excel, Git, Jupyter Notebooks
- Specialties: Data Analysis, Machine Learning, Natural Language Processing (NLP), Dashboard Development
- Exploring: Web3, Blockchain, AI Technologies
- Professional Certificate in Data Analytics (90%) - Imperial College London (2024)
- BSc in Mathematics & Statistics (First Class) - Newcastle University
- PRINCE2 Foundation, QA - December 2023
- 15 Days of Power BI - Complete Microsoft Power BI Bootcamp, Udemy - June 2023
- Population Health Management (PHM) for All, Midlands Decision Support Network - September 2023 β October 2023
- Continuous Improvement (Green Flag) Training, NECS - July 2023
- Understanding Agile | Complete Guide for Beginners, Udemy - July 2023
- Deeply Practical Project Management, Udemy - July 2023
- Management & Leadership - Modern Leaders Training, Udemy - June 2023
- Google Data Analytics Professional, Grow with Google - January 2023 β June 2023
- SQL - MySQL for Data Analytics and Business Intelligence, Careers365 - April 2021
π I'm always open to discussions about data science, AI, or exciting opportunities! Feel free to reach out for collaborations or just to chat!