Data Analyst / Business Analysis Projects (Independent / Portfolio Experience) focusing on data cleaning, classification, validation, and documentation for evidence-based operational insights.
TextConducted technical content and data quality reviews to detect errors, validate outputs, and ensure business-relevant accuracy before presentation. Applied structured checks to identify missing values, inconsistent classifications, duplicate records, incorrect categories, and unreliable outputs across operational datasets. Produced clean, classified, and visualised data summaries that could be used for downstream AI training and QA processes in engineering and utilities contexts. •Reviewed dataset outputs for accuracy, logic, completeness, and business relevance prior to stakeholder delivery. •Performed evidence-based validation of operational and performance records to support trustworthy results. •Documented findings and recommendations to improve repeatability and transparency of analysis workflows. •Built dashboards and reporting outputs to monitor service performance, risk, and process efficiency for data-driven decision-making.