Exploring a professional career in digital marketing as a freelancer, specializing in website creation, SEO, running ads on social media platforms such as Facebook and Instagram, and conducting lead generation campaigns on Social Media platforms

Analysed large-scale customer invoice data (10 million + records) by utilising PowerBI to model various machine learning models including cross-selling, up-selling, and transaction basket behaviour. This resulted in a 20% increase of sales for the business and exceeding quarterly targets for previously under-performing products.Led end to end development of ETL pipelines using PowerBI, DAX, and SQL to analyse consumer response to advertising campaigns. This included implementing marketing mix modelling, time-series forecasting, and exploratory analysis resulting in a £10,000 revenue increase.Collaborated within a cross-functional team to maintain MI suite of 20+ company-wide dashboards by implementing data quality checks and robust UAT. Presented weekly insights to senior stakeholders and encouraged a consistent feedback loop to iterate dashboards as needed.Improved data analysis and visualisation accuracy and efficiency by utilising DAX, SQL, and Excel best practices, resulting in a 15% reduction in errors and 30% faster report generation time.Developed data quality frameworks to improve database health and performance including debugging, risk monitoring, and automated data flows to mitigate overall risk and reduce technical debt. This improved ingestion speed from key sources by 20% and proactive data governance/handling of PII data.Leveraged SQL and PowerBI to analyse and report on ESG data, delivering actionable insights to drive sustainability initiatives resulting in a 20% reduction in carbon emissions and improved ESG ratings for the organisation.Implemented rigorous data validation processes using SQL and PowerBI, ensuring data accuracy and reliability for ESG reporting.

Led end-to-end automation of financial investment data within PowerBI using SQL (upwards of 1000+ headcount) to analyse status, growth-rate, and risk. This resulted in streamlined operations and reduced manual capacity by 50+ hours. Liaised with financial managers to segment customers in arrears for collections, utilising 3rd party financial data and SQL queries to drive data-driven decisions. Evaluated, analysed, and maintained a database for asset metrics using SQL and PowerBI, and reported results to various business units including capital markets.