Matthew Letteboer

Enthusiastic and detail-oriented Data Science graduate with a strong foundation in Python, SQL,

machine learning, and data analysis. Adept at using NumPy, pandas, and scikit-learn to extract insights from data and drive informed decision-making. Strong problem-solving skills with a passion for data-driven storytelling and predictive modeling. Eager to apply my technical expertise and analytical mindset to a junior Data Analyst or Data Science role.

Data Analysis & Quality Assurance: Reviewed and analyzed ministerial correspondence,

ensuring accurate and high-quality responses.

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Data Management & Compliance: Designed and maintained Excel-based tracking systems,

ensuring compliance with the Data Protection Act.

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Covid-19 Inquiry Data Handling: Collaborated in a Microsoft Teams project to analyze and organize data for a Cabinet Office-led Covid-19 Inquiry, meeting strict deadlines.

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Transparency Data Management: Compiled, validated, and formatted ministerial and senior official data for Cabinet Office approval and public release.

.Achieved a 99% average across all bootcamp tasks, demonstrating a strong grasp of data science concepts.

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Mastered Python programming and object-oriented principles, improving coding efficiency in data analysis.

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Gained hands-on experience with key libraries: NumPy, pandas, scikit-learn, and

Matplotlib.

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Developed and completed five capstone projects, applying data cleaning,

visualization, and machine learning techniques.

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Applied SQL for data extraction and manipulation from relational databases.