Built a machine learning solution for fake news detection using NLP, feature engineering, and comparative model evaluation to identify the most effective classification approach.
DownloadCompleted a project with Durham Constabulary to develop a digital handover solution focused on structured case workflows, supervisor approvals, version control, and audit-ready change tracking.
DownloadCompleted a one-time data analysis project for a non-profit organisation supporting children, using exploratory analysis, trend interpretation, and stakeholder-focused reporting to deliver clear operational insight.
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Experienced in analysing structured and operational data to identify trends, monitor performance, and support business decisions. Skilled in exploratory data analysis, KPI tracking, root-cause investigation, and translating complex findings into actionable insights.
Proficient in building interactive dashboards and recurring reports using Power BI, Tableau, Excel, and Power Query. Experienced in designing clear visualisations, performance reports, and decision-support dashboards for business and operational stakeholders.
Strong ability to present analytical findings in a clear, business-focused way. Experienced in communicating metrics, trends, and recommendations to stakeholders, ensuring technical outputs are understood and aligned with business objectives.
Experienced in developing and supporting ETL workflows for extracting, transforming, and loading data across multiple sources. Skilled in data integration, workflow automation, data transformation, and building reliable pipelines for reporting and analytics.
Hands-on experience with Azure Data Factory, Azure Data Lake, AWS S3, AWS Glue, Redshift, Databricks, and Snowflake. Familiar with cloud-based data storage, modern data platforms, and scalable data solutions that support analytics and business intelligence.
Strong experience working with SQL Server, Oracle, PostgreSQL, Teradata, and Snowflake. Skilled in querying large datasets, managing relational structures, improving data quality, and supporting data models used for analytics, reporting, and warehousing.
Proficient in Python for data analysis, automation, data preparation, and machine learning workflows. Experienced in using Python to clean datasets, automate repetitive tasks, support analytical processes, and build practical data solutions.
Advanced SQL capability across querying, joins, aggregations, filtering, transformation logic, and performance-focused data extraction. Experienced in writing SQL for reporting, analysis, ETL support, and working with large relational datasets.
Skilled in improving reporting workflows, supporting data governance, and ensuring data accuracy and consistency across analytical processes. Experienced in delivering structured solutions that improve efficiency, reliability, and business usability.