Data Analyst | Passionate about turning data into actionable insights.
Data Analyst with hands-on experience turning raw data into actionable insights through academic projects and freelance work. Proficient in Python (Pandas, NumPy, Scikit-learn), SQL, and Streamlit/Dash for interactive dashboards. I specialize in data cleaning, EDA (exploratory data analysis), predictive modeling, and workflow automation.
Currently pursuing a Master’s in Data Analytics (NFQ L9) at CCT College Dublin, with projects in clustering, forecasting, market basket analysis, and recommendation systems. These experiences have strengthened my skills in statistical analysis, business intelligence, and real-world data applications. I also hold a Higher Diploma in Data Analytics (NFQ L8) and a Diploma in Software Development (NFQ L7), providing a solid foundation in both analytical thinking and programming. Passionate about delivering data-driven solutions and continuously expanding my skills in end-to-end analytics and open-source tools.
This project focuses on analyzing production-related factors that influence agricultural export values in Ireland. It employs statistical and predictive modeling techniques to uncover trends and provides actionable insights for optimizing production and pricing strategies.
Skills: Data analysis, predictive modeling, dashboard development, CRISP-DM methodology
View on GitHub
This interactive dashboard is a key feature of the "Predicting and Forecasting Agricultural Export Values in Ireland" project. It allows users to explore agricultural export trends visually, providing insights into production volumes, export performance, and pricing strategies.View instructions on GitHub or deploy dashboard.
Skills: Dashboard development, Python (Dash, Plotly, Pandas), data visualization, interactivity design
Deploy the Dashboard View on GitHub
This project involved cleaning and preprocessing the Titanic dataset to improve data quality for future analysis. Key tasks included handling missing values, correcting inconsistent data types, and addressing outliers. The focus was on ensuring the dataset was clean and ready for reliable exploration and reporting.
Skills: Data cleaning, data wrangling, attention to detail
View on GitHub
An in-depth analysis of global cost of living indices using Python. This project includes comparative analysis of affordability trends across regions, with a focus on Ireland, highlighting differences from global and New York averages.
Skills: Data visualization, statistical analysis, communication of insights Python (Matplotlib, Seaborn)
View on GitHub
A dynamic dashboard built with Dash to analyze online retail sales trends, customer segmentation, and geographical performance. Interactive elements such as filters and charts provide actionable insights for business decisions.
Skills: Dashboard design, Python (Dash, Plotly), data visualization
View on GitHub
This project explores employee attrition and satisfaction through statistical analysis and machine learning models. Hypothesis testing (ANOVA, t-tests) and dimensionality reduction techniques (PCA, LDA) were used to enhance model performance and uncover patterns in the data.
Skills: Machine learning, hypothesis testing, data preprocessing, feature engineering
View on GitHub
Designed and normalized a relational database schema for employee management, achieving 3NF. Wrote advanced SQL queries for data retrieval, aggregation, and manipulation to support operational analysis.
Skills: Database normalization, SQL (joins, views, stored procedures), ER modeling
View on GitHub
CCT College Dublin
Sep 2022 - Jun 2023
Grade: Distinction
Skills: Java, HTML, CSS, JavaScript, MySQL, Agile Methodologies.
CCT College Dublin
Sep 2023 - Jun 2024
Skills: Strategic Thinking, Machine Learning, Statistical Techniques for Data Analysis, Data Preparation, Data Visualization Techniques, Machine Learning for Business.
CCT College Dublin
Sep 2024 - Jun 2025
Skills: Advanced Data Analytics, Programming for Data Analytics, Predictive Modeling, Machine Learning, Research and Professional Ethics, Big Data Storage and Advanced Data Analysis.
Access my CV to see a concise summary of my skills, experience, and achievements.
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