I’m an aspiring Data Analyst / Junior MI Analyst with a strong focus on using data to support clear, practical business decisions. I enjoy working with raw, imperfect datasets and turning them into structured insights that help teams understand performance, identify risks, and prioritise opportunities.

My core strengths are in Power BI, SQL, data modelling, and DAX, with experience delivering end-to-end analytics projects — from data cleaning in Power Query through to executive-level dashboards and actionable recommendations. I’m particularly interested in customer behaviour, pricing and value analysis, and operational performance.

Before moving fully into analytics, I ran my own business for several years, using data to track KPIs, analyse seasonality, and optimise marketing spend. This gave me a strong commercial mindset and an appreciation for reporting that is accurate, clear, and genuinely useful to decision-makers.

I’ve recently completed a Level 3 Diploma in Data Analytics with Power BI, reflecting a deliberate and motivated transition into a data analytics career. I’m actively building a portfolio that demonstrates real-world analytical thinking, practical problem-solving, and clear communication of insights.

• Project A: EDA of business data using SQL to find descriptive insights and answer high-level business pain points
• Python Skills: Further developing my skills in Python with the aim of creating a financial analysis project using Python & Excel
• Networking: Posting progress and advice on LinkedIn to grow a network of like-minded individuals

• Python Libraries (Matplotlib, Pandas)
• Critical thinking & Problem solving