Passion about all things data, trained in Data Science and Machine Learning with a distinction in the **Code First Girls Data Science nanodegree and "+masters" bootcamp and a strong professional background in healthcare and property.
One of my missions is to bridge the gap between clinical understanding and data-driven insight - using analytics and AI to improve outcomes, optimise operations, and support evidence-based decision making.
I also have a strong background in property and investment, with a deep-seated interest in the application of machine learning and A.I tools to support and enhance deal sourcing and analysis.
I’ve applied my skills across financial analytics, property prediction, and healthcare data projects, combining Python, SQL, scikit-learn, Power BI, and Tableau to uncover patterns that drive smarter action.
🏥 My healthcare background Working within multidisciplinary healthcare environments taught me how to handle sensitive data responsibly, interpret complex datasets, and translate results for both technical and non-technical audiences. That experience now shapes my data science practice — from cleaning and validating data to communicating findings that truly matter.
🧠 Key strengths
- End-to-end data analysis: from raw data to insights and dashboards
- Predictive modelling and feature engineering using Python & scikit-learn
- Database querying, joins, and optimisation with SQL
- Data storytelling and visualisation with Tableau & Power BI
- Commitment to privacy, ethics, and high data quality standards
🎯 Current Focus: Completing the full data cycle - Building data and ML pipelines, deployment and exploring AI applications in health analytics and operations.
📚 Certification: Code First Girls Data Science nanodegree – Distinction , BSc(HON )Nursing with Registration (King's College London)
💬 Connect with me: LinkedIn
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🧠 The Global Health Database - GitHub_Repo
This models key health indicators across World Health Organization (WHO) regions.
Using SQL, relationships are explored between health expenditure, life expectancy, and child mortality - structured relational design, SQL joins, stored functions, and data visualisation. -
🏘️ Predicting High-Occupancy Short-Term Rentals: A Machine Learning Approach – GitHub Repo
A +masters final project using machine learning libraries and techniques, including preprocessing, optimisation and validation. Python Libraries used include Sci-Kit Learn, Keras and TensorFlow. The following models are featured: Logistic Regression, K-Nearest Neighbour, Random Forest, Support Vector Machine, Neural Networks.
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📈 Stock Performance of S&P500 Companies - Analysis and Prediction – GitHub Repo | Presentation Slides
Role: Project Manager : Implemented Agile strategies as a project leader. Features analysed: PEG Ratio, ROA. It showcase data cleaning, EDA, visualisation, and machine learning and predictive modelling group project.
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🏘️ SQL PropertyDB – GitHub Repo
A database system built for a fictional Essex-based short-term lettings company. It tracks towns, property listings, and bookings using SQL queries, constraints, views, and stored procedures. Includes data cleaning, JOINs, and revenue analysis using custom SQL functions!
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🧠 The Ease App - GitHub_Repo
Presentation Slides Video demo This is a Huddlehive #3 hackathon 2-day project, shortlisted for overall winner presentation. Contribution: Project ideas, contribution to backend and sample M.L code using python libraries, presentation
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TT Shop Affiliate DB - Backend fullstack project – GitHub Repo
This is a backend fullstack project, simulating the tiktok shop affiliate programme, combining the use of mySQL, python and APIs.
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🧙♂️ Hogwarts Wizard Game – GitHub Repo
A magical Python game using APIs and randomness to generate your own wizard identity and assign you a friend from the wizarding world. Created during my CFG Python course – expect spells, surprises, and plenty of Hogwarts charm!
- LinkedIn: Your LinkedIn Profile
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