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  Learn More About Me

  With a background in computer science and experience in education, I bring a unique blend of analytical thinking and clear communication to data analysis. My time as a computer science teacher sharpened my ability to evaluate performance, adapt strategies, and explain technical concepts in simple terms.

  I recently earned a Business Data Analyst certificate from Netcom Training, marking a key step in my career comeback and reinforcing my passion for data and technology.

  Additionally, I have engaged in various projects and courses through LinkedIn Learning, which have allowed me to apply theoretical knowledge in practical settings. This hands-on experience has deepened my understanding of data analysis and enriched my skill set, making me well-prepared to tackle real-world challenges in the field.

  I apply those skills using tools like SQL, Python, Power BI, Tableau, and Excel to transform raw data into meaningful stories. I enjoy uncovering hidden trends, designing interactive dashboards, and supporting business intelligence through practical, actionable insights.

  My goal? To make data work for people—simplifying the complex, guiding decisions, and creating real impact through clarity and precision.

  Download my CVPlease

Recent Work

HR-Attrition-Analysis-Tableau

I'm excited to share mTableau project, which explores employee attrition using a range of insightful visualisations. The dashboard highlights key metrics and trends, helping HR teams understand the drivers behind turnover

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NetFlix Trend and Viewer Behaiver Analysis

Exploring Netflix through Data Visualization, leverages Tableau to analyze Netflix's extensive library of movies and TV shows. The objective is to uncover patterns and trends in the platform's content offerings through interactive dashboards. .

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Telecom Customer Churn Analysis: A Power BI Project

Customer retention is a crucial factor in the telecom industry. This project aims to analyze customer churn patterns and identify factors contributing to customer attrition. The study includes demographic, geographic, payment, contract, tenure, and service-based insights to help predict and reduce churn. The analysis was conducted using Power BI, where an ETL process was set up to transform raw customer data into meaningful insights through data visualizatio

Power BI Report
Project Documentation

From MySQL to Power BI: How I Transformed Raw Pizza Data into Business Insights

Analysed one year of pizza sales data to uncover trends by day, time, size, and category. I began by cleaning and transforming the dataset in Power Query,standardising date formats, categorising time-based metrics, and correcting data inconsistencies. Used DAX for key metrics like revenue, average order value, and pizzas per order. Delivered an interactive dashboard to support business decisions.

Power BI Report
Project Documentation

Pizza Sales Analysis Using MySQL

This project analyses pizza sales data from a fictional pizzeria to uncover valuable insights that can improve operational efficiency and profitability. By examining key metrics such as order frequency, revenue trends, and customer preferences, the analysis offers a comprehensive understanding of the factors that drive sales performance.

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London House Price Analysis (Python)

In this project, I conducted an in-depth analysis of house prices in London, examining various factors that influence property values. Through exploratory data analysis, statistical methods, and visualizations (such as boxplots), uncovered several important trends and insights regarding the London housing market

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