Turning data
into decisions.

Analysed employee turnover data to surface key attrition drivers by department, tenure, and role — enabling proactive retention decisions.

Explored EV market trends, sales performance, and charging infrastructure growth to inform business strategy and policy decisions.

Cleaned raw sales data and built a dynamic Excel dashboard enabling teams to slice performance by region, product, and time period.

Used Python in Google Colab with Pandas and Seaborn to analyse global demographic trends and population shifts over time.

Built a streaming dashboard revealing listener behaviour, track performance, and music trends across the platform.

Monitored key email metrics to provide an in-depth view of communication patterns and help refine engagement strategies.

Delivered a financial performance overview covering revenue, profitability, and growth trends for stakeholder decision-making.

In-depth analysis of Paralympic performance — medals, top countries, hosting impact, and trends by sport and season over time.

A 3-page Power BI dashboard analyzing 5,500 records across Executive Overview, Data Quality, and Data Compliance. Key findings: only 11.22% of records are fully compliant, Finance is the top-performing domain, and total financial exposure from non-compliance reaches €2.06bn — with potential fines of €1.78bn vs. €277M remediation cost.