I'm a Data Analyst with a background in Data Analytics and Computer Science, focused on transforming data into clear, actionable insights.

I enjoy analysing data, identifying trends, building interactive dashboards, and using data visualisation to communicate findings that support data-driven decision-making.

• SQL
• Power BI
• DAX
• Power Query
• Microsoft Excel
• Data Cleaning
• Data Transformation
• Exploratory Data Analysis
• Statistical Data Analysis

• Python
• Pandas
• Data Cleaning
• Data Transformation

• Tableau
• Power BI
• Plotly
• Shiny
• Dashboard Development
• Data Visualisation

• Machine Learning
• Natural Language Processing (NLP)
• NLTK
• Scikit-learn
• Text Classification
• Feature Engineering

Power BI | Power Query | DAX | Data Analysis

Interactive Power BI dashboard analysing Ireland healthcare waiting-list data across patient demographics, hospitals, waiting volumes, trends, and waiting-time categories.

🔗 View Project

Tableau | Data Visualisation | Data Analysis

Interactive Tableau dashboard analysing 218,310 speeding offences across Northern Ireland, exploring trends by time of day, demographics, camera type, local government district, and offence outcomes.

🔗 View Project

Python | Pandas | Plotly | Shiny | Data Visualisation

Built an interactive dashboard to analyse UK railway performance using 30,000+ operational records.

• Cleaned, transformed, and aggregated operational data.
• Analysed delays, passenger flow, and route efficiency.
• Created interactive visualisations for exploring operational performance.
• Developed and deployed an interactive Shiny dashboard.

🔗 View Project

Python | NLP | Machine Learning | NLTK | Scikit-learn

Built an NLP-based classification system using 24,000+ text records.

• Applied tokenisation, stopword removal, normalisation, and Bag-of-Words vectorisation.
• Implemented Decision Tree and Naive Bayes classification models.
• Improved classification accuracy from 80% to 87%.
• Evaluated model performance using confusion matrices, precision-recall metrics, and cross-validation.

Jan 2024 – Feb 2024 | Remote

• Analysed restaurant datasets to identify cuisine, rating, and pricing trends.
• Performed exploratory data analysis using Python, Pandas, Seaborn, and Matplotlib.
• Automated reporting workflows to reduce manual effort.
• Analysed delivery and booking data to identify growth opportunities.
• Delivered data-driven insights to support marketing and business decisions.

May 2023 – Jul 2023 | Remote

• Built a supervised machine learning and NLP model for hate-speech classification, improving accuracy from 80% to 87%.
• Cleaned and processed 24,000+ text records using NLP preprocessing and vectorisation techniques.
• Implemented Decision Tree and Naive Bayes classification models using Bag-of-Words.
• Applied feature engineering and NLP preprocessing to improve model stability.

Dundalk Institute of Technology 2024 – 2025

Bapatla Engineering College 2020 – 2024

• Deloitte Australia – Data Analytics Job Simulation — Forage | March 2026
• Data Visualisation: Empowering Business with Effective Insights — Forage | March 2026

I'm currently seeking Data Analyst opportunities where I can apply SQL, Power BI, Tableau, Python, Excel, and data visualisation to analyse real-world data, identify meaningful insights, and support data-driven business decisions.

💼 LinkedIn

💻 GitHub