Welcome to my GitHub profile! I'm a passionate coder with a love for all things Python and Data Science. When I'm not buried in code, you can find me indulging in my favorite hobbies.

• Coding Enthusiast: I love solving problems and building cool projects.
• Python Lover: Python is my go-to language for everything from web development to data analysis.
• Data Science Buff: I'm fascinated by the power of data and how it can be used to make informed decisions.

• Movies: I'm a huge movie buff and love watching everything from classic films to the latest blockbusters.
• True Crime: I enjoy diving into true crime stories and documentaries. There's something intriguing about solving mysteries!
• YouTube: Whether it's tutorials, vlogs, or just funny videos, YouTube is my go-to platform for entertainment and learning.

Feel free to reach out to me if you want to collaborate on a project, discuss data science, or just chat about movies and true crime!

Happy coding! 😊

• Aligned projects with specs, recommending solutions to enhance functionality.
• Led stakeholder meetings to prioritize tasks and deliver updates.
• Trained and supported new colleagues on projects.
• Supported senior developers during project restructuring.
• Developed and maintained Python pipelines for data extraction and processing.
• Utilized Python libraries (pandas, NumPy, scikit-learn) to achieve goals.
• Managed version control of pipelines using GitHub.
• Managed Kanban boards for efficient workflow.
• Proposed suitable delivery methods (Agile, waterfall) for products.
• Conducted comprehensive testing of pipelines.
• Conducted code reviews to ensure quality.
• Ensured compliance with ethical guidelines in data science projects.
• Researched new techniques for continuous learning and improvement.
• Collaborated to identify user needs and develop data science products.
• Managed continuous professional development (CPD).
• Discussed benefits of data science with stakeholders.
• Recognized for significant achievements and contributions.

• Programming Languages: Python, SQL
• Data Analysis: pandas, NumPy, scikit-learn
• Data Visualization: Matplotlib, Seaborn
• Machine Learning: scikit-learn, TensorFlow
• Version Control: Git, GitHub
• Project Management: Agile, Kanban
• Operating Systems: Windows, MacOS
• Tools: Jupyter Notebook, VS Code

• BSc Applied Data Science (in progress)
• HNC Law (Pass)
• HNC Software Development and Networking (Pass)
• BTEC National Diploma ICT (MMM)
• 8 GCSE’s including Maths and English