Selected Work
Analytics, strategy, and reporting projects with measurable business impact.
Designed and built a Power BI dashboard for a SaaS company to monitor recurring revenue, churn, expansion revenue, and regional growth, replacing a time-consuming manual reporting process.
Built a Python forecasting model to improve SKU-level demand planning and reduce stock inefficiencies for a retail client.
The team relied on static averages that did not account for seasonality or promotional periods, leading to stock errors.
Created an automated monthly finance reporting workflow using Excel, VBA, and Power Query to eliminate manual formatting.
Finance analysts were spending 6+ hours each month formatting reports manually, with inconsistent outputs and frequent errors.
Developed a flexible scenario model to evaluate pricing changes and their impact on revenue, margin, and customer retention.
The commercial team needed to compare different pricing options but had no structured model for assessing risk and upside.
Analysed customer behaviour data to identify high-value customer groups and recommend targeted engagement strategies.
Marketing activity was broad and not clearly aligned to customer value, resulting in inefficient spend across segments.
Designed a one-page executive scorecard to summarise revenue, margin, customer, and operational performance in a format suitable for senior leadership review.
Senior leaders needed a cleaner way to review performance without navigating long slide decks or raw data exports.