I'm a Data Analyst / Data Scientist with an MSc in Data Science from Goldsmiths, University of London. I enjoy transforming raw data into meaningful insights, building analytical solutions, and developing data-driven applications.

I have experience working with SQL, Python, Power BI, DAX, Excel, Microsoft Fabric, Azure, ETL pipelines, data modelling, and machine learning.

• 🎓 MSc Data Science — Goldsmiths, University of London
• 📊 Data Analyst / System Analyst
• 🐍 Experienced with Python, Pandas, NumPy and Scikit-learn
• 🗄️ Strong SQL experience with SQL Server, MySQL and PostgreSQL
• 📈 Power BI, DAX and Excel for data analysis and reporting
• ☁️ Microsoft Fabric and Azure
• 🔄 ETL/ELT, data transformation and data quality
• 🤖 Machine Learning and predictive analytics
• 🏥 Interested in healthcare analytics and data-driven decision making
• 💻 Building practical data projects and analytical dashboards

Python Pandas NumPy Matplotlib Scikit-learn

SQL SQL Server MySQL PostgreSQL T-SQL

Power BI DAX Power Query Excel PivotTables

ETL / ELT Data Modelling Star Schema Data Quality Incremental Loads

Microsoft Fabric OneLake Lakehouse Dataflows Gen2 Fabric Pipelines Azure

Logistic Regression Classification Feature Engineering Model Evaluation Predictive Analytics

Git GitHub REST APIs PHP C# ASP.NET MVC

A machine learning project focused on predicting whether patients will attend or miss scheduled healthcare appointments.

Technologies: Python · Pandas · NumPy · Scikit-learn · Machine Learning

Key areas:

• Data cleaning and preprocessing
• Exploratory Data Analysis
• Feature engineering
• Classification modelling
• Model evaluation
• Prediction analysis

🔗 View Project

A data analysis project focused on analysing UK stock-market and FTSE 100 financial data.

Technologies: Python · Pandas · SQL · Power BI · Time-Series Analysis

Key areas:

• Financial data analysis
• Exploratory data analysis
• Time-series analysis
• Data visualisation
• Statistical analysis
• Short-term forecasting

🔗 View Project

A data analysis project exploring election data and identifying patterns and trends through data analysis and visualisation.

Technologies: Python · Pandas · Data Visualisation

🔗 View Project

A database-driven application developed to manage student results and attendance information.

Technologies: VB.NET · SQL · HTML

Key areas:

• Student management
• Attendance management
• Result processing
• Database operations
• Reporting

🔗 View Project

• Building advanced Power BI dashboards
• Developing SQL data-analysis projects
• Working with Microsoft Fabric and Lakehouse architecture
• Improving my data engineering and ETL skills
• Developing machine-learning projects using Python
• Exploring AI, NLP and Large Language Models
• Building practical healthcare and financial analytics projects

Goldsmiths, University of London

Focus areas included:

• Big Data Analysis
• Machine Learning
• Data Science
• Statistical Analysis
• Data Visualisation
• Data Analytics

• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Data Scientist Associate
• Microsoft Azure Fundamentals
• Power BI
• Microsoft Fabric
• SQL & Data Analytics
• Python & Machine Learning

I'm interested in opportunities involving:

Data Analytics · Data Science · Business Intelligence · SQL · Power BI · Microsoft Fabric · Data Engineering · Machine Learning

💼 LinkedIn

🐙 GitHub

🌐 Portfolio

I'm always interested in learning, building data-driven solutions, and connecting with other professionals in the data community.