Programming: R, Python (Pandas, NumPy), SQL
Enthusiastic and detail-oriented recent graduate in Administrative Management, currently pursuing a Master's degree in Data Science, with experience in healthcare and a strong foundation in business analysis. Seeking to leverage analytical skills and healthcare experience in a challenging placement role.
Global Population Visualisations (R, Tableau)
Obesity Classification (Machine Learning)
Built KNN and Decision Tree models to predict obesity levels (94% accuracy).
Wine Quality Clustering (K-Means & Hierarchical)
Segmented wine samples into clusters based on physicochemical properties.
Sentiment Analysis of Airline Reviews (Naive Bayes)
Classified Twitter sentiments (76% accuracy) using text preprocessing and NLP.
Hospital & Restaurant Database Design (SQL)
Programming: R, Python (Pandas, NumPy), SQL
Data Analysis: Regression, Clustering, Time Series Forecasting (ARIMA)
Tools: Tableau, Power BI, Excel, Git
Machine Learning: KNN, Decision Trees, K-Means, Hierarchical Clustering
Database Management: SQL Server, MySQL
Reading and Playing football