Hi, my name is

Charles Harrison

I'm in my final year of a Computer Science degree at the University of Lincoln, working toward a career in data science. Right now I'm looking at graduate roles where I can keep learning and contemplating pursuing a master's.

Get in touch View CV

Technical Skills

Python & SQL

  • Confident writing clean and maintainable Python for analysis and modelling
  • Experience with SQL to manipulate relational databases
  • Version controlling projects through Git and GitHub
  • Python
  • SQL
  • Git

Machine Learning & Predictive Modelling

  • Experience with TensorFlow/Keras and PyTorch
  • Training and evaluating models for classification, regression, and clustering problems
  • Working with neural networks, decision trees, and NLP models, including pre-trained transformers form HuggingFace
  • PyTorch
  • TensorFlow
  • HuggingFace

Data Visualisation

  • Developing and deploying KPI to communicate key metrics
  • Applying dimensionality reduction techniques such as t-SNE and PCA to large datasets
  • Creating visualisations using Matplotlib/Seaborn for non-technical audiences
  • t-SNE
  • PCA
  • Matplotlib
  • Seaborn

Statistical & Quantitative

  • Experience with NumPy and SciPy for statistical computing
  • Applying statistical methods and hypothesis testing to real data
  • Strong mathematical grounding
  • Statistics
  • NumPy
  • SciPy
  • Hypothesis Testing

Projects

A few things I've built

Customer Segmentation with Clustering

Segmented ~66,000 customers from a dataset containing a million transactions into distinct groups using K-Means, allowing for targeted marketing.

  • Unsupervised Learning
  • K-Means
  • Scikit-learn
  • PCA
View details

X Engagement Dashboard

A role-based dashboard built with Flask using a MySQL database that lets a manager see how their social media team is performing and how that impacts the account.

  • Team Analytics
  • TamperMonkey
  • Flask
  • SQL
View details

An Analysis of Word Embeddings and Prompting Techniques on PubMedQA

Conducted experiments that investigated the ability for a model to accurately classify a medical research question with yes or no answers.

  • Natural Language Processing
  • PyTorch
  • scikit-learn
  • HuggingFace
View details

Exercise and Body Weight During Post-Chemotherapy Recovery: An N-of-1 Study

Self-directed n-of-1 statistical study, built from 2.5 years of daily self-tracked data.

  • Applied Statistics
  • NumPy
  • SciPy
  • Matplotlib
View details
More projects →

Experience

  1. Terra Casino, Remote (Prestart up)

    Social Media Data Analyst · June 2024 - Present

    • Develop and maintain an online dashboard to help managers track employee activity and performance.
    • Increased an X (formally Twitter) account's followers by 100%.
    • Conducted market research and data analysis, which increased quarterly engagement rates by 2000%.

  2. Employer Project, Lincoln

    Lincoln Award · October 2024 - January 2025

    • Collaborated with Hilton Foods on a real-world project to design a competitive graduate scheme to attract top talent to train into future department leaders.
    • Undertook in-depth research and analysis of competitors' schemes to identify industry standards.
    • Created a comprehensive proposal and presented findings to members of senior management.
    • Strengthened teamwork and communication skills by balancing tasks and meeting deadlines.

  3. Terra Classic, Remote (Prestart up)

    Data Analyst · June 2022 - April 2024

    • Conducted data analysis for a blockchain software organisation in Web3.
    • Extracted and processed data from multiple financial entities, from cryptocurrency brokers to financial news outlets.
    • Implemented automated data harvesting to ensure long-term results.
    • Cleaned and analysed data, adding $1.5 billion worth of value to the project.

  4. R.S Wisby Family Butchers

    May 2017 - March 2020

    • Communicated with customers to take and serve orders in a time-efficient manner.
    • Managed stock levels and found cheaper alternatives to increase profits.
    • Worked and communicated within a team to meet delivery deadlines.

Education

University of Lincoln

BSc (Hons) in Computer Science with AI · 2024 - 2027

Computer science degree blended with data science
Data analytics, evolution of artificial intelligence, natural language processing

Queen Elizabeth's Grammar School

A-Levels · 2017 - 2019

Studied Maths, Physics, and Design Engineering

Certifications

Data Science Career Accelerator

University of Cambridge · April 2026 - Present

Applied data science and machine learning through hands-on project work.

Algorithmic Trading Programme

University of Oxford · April 2025 - June 2025

Quantitative approaches to trading strategy design, backtesting and market analysis.

Microsoft Certified: Azure Fundamentals (AZ-900)

Microsoft · May 2025

Core cloud computing concepts and Microsoft Azure services.

Get in touch

I'm always happy to hear about new opportunities or just to chat about data science. The best way to reach me is on LinkedIn.

Connect on LinkedIn