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Senior Data Professional with 4+ years' experience across data science, analytics, and data engineering, specialising in Python, SQL, and modern data workflows. Skilled in building analytical models, engineering high-quality datasets, and delivering insights that support forecasting, optimisation, and strategic decision-making. Experienced with machine learning, feature engineering, ETL/ELT pipelines, Spark, and cloud-based workflows.

Adept at translating complex analysis into clear, actionable recommendations for technical and non-technical stakeholders. Actively developing toward AI Engineering through hands-on work with ML, data pipelines, and modern AI-assisted tools.

Senior Data Analyst at Dukes Education (2022-01 – Present)

Built analytical models, engineered datasets, and automated data workflows to support forecasting, resource planning, and operational decision-making across 20+ institutions.

• Developed predictive models for workload, demand, and resource planning.
• Engineered features from operational datasets to support scenario modelling.
• Automated analytical workflows using Python and SQL.
• Designed and maintained SQL-based data pipelines for reporting and forecasting.
• Analysed large datasets to uncover behavioural patterns and performance trends.
• Defined KPIs and delivered insights to senior stakeholders.
• Led end-to-end analytical projects from scoping to delivery.
• Reduced annual wastage by 15–20% through predictive workload modelling.
• Improved long-term financial planning via automated cost-modelling frameworks.
• Delivered profitability models enabling targeted resource allocation.

Senior Technical Research Analyst at Independent Schools Council (ISC) (2021-01 – 2022-12)

Led analytical projects and managed large SQL datasets to deliver research and policy insights across 1,300+ institutions.

• Applied predictive analytics to exam performance and enrolment trends.
• Built forecasting models and statistical analyses for long-term planning.
• Automated data processing workflows using Python and SQL.
• Designed analytics-ready datasets for admissions and performance analysis.
• Produced clear research outputs for senior stakeholders.
• Improved exam evaluation accuracy through automated analytics workflows.
• Strengthened strategic planning via refined admissions criteria.
• Contributed to a 2% increase in pupil numbers (ISC Census 2022).

Data Analyst / Scientist at Pairview (2016-01 – 2020-12)

Delivered end-to-end analytical and machine learning solutions across client projects.

• Built ML models for classification, forecasting, and time-series analysis.
• Designed feature engineering pipelines and evaluation frameworks.
• Performed exploratory analysis and visualisation using Python and BI tools.
• Developed prototype analytical workflows from ingestion to modelling.
• Processed large datasets using Python and light PySpark.
• Created reusable Python utilities to accelerate prototyping and documentation.
• Delivered ML-driven consumer forecasts informing marketing strategy.
• Boosted sales by 20% across product lines through predictive analytics.

Earlier Roles at Multiple (2000-01 – 2016-12)

Customer Care, Admin, and IT Support roles in London (Boots Pharmacy, CPAU, Groundwork Thames, CCH Express).

Medical Leave due to COVID-19 at Medical Leave (2020-01 – 2021-12)

MSc in Data Analytics – University of Portsmouth (2025-10)

BSc in Computer Science – London South Bank University (2006-12)

Diploma in Computer Science – London South Bank University (2004-12)