I am a Business-Driven Data Analyst and I help organisations make better decisions by connecting financial analysis, data, and business insight. My background spans mechanical engineering, financial modelling, and data analytics, a combination that lets me approach problems from both a technical and commercial angle, whether that's assessing investment feasibility, streamlining reporting, or untangling a business process.
I've built financial models to evaluate investment risk and return, managed data across large client portfolios, and automated reporting processes that meaningfully cut turnaround times. That experience shaped a core belief: good analysis isn't just about the numbers, it's about making them usable for people & organisations who have to act on them. I also support career development initiatives for a growing network of 100+ students and early-career professionals from underrepresented backgrounds.
✨Data Analysis
✨Project Reporting
✨Data Visualization
✨Business Analysis
From raw data to a full business report, here's a project I just wrapped up in Microsoft Excel.
I took three years of sales data from Northwind Trading Company (a fictional food distributor used widely for data practice) and built an end-to-end analysis covering revenue performance, geographic markets, product categories, customer behaviour and logistics.
Excited to share my latest Power BI project: an interactive HR Analysis Dashboard built on the IBM HR Analytics dataset of 1,470 employees.
The dashboard spans four pages covering:
This project analyses a Toy Store e-commerce dataset supplied as a set of CSV files (orders, order_items, order_item_refunds, products, website_sessions, and website_pageviews). The goal was to load the raw data into an SQL environment, use SQL to answer a defined set of business questions, and then build an interactive Power BI dashboard on top of the same data model so the findings could be explored visually and filtered by date. The work spanned three stages: (1) setting up a local SQL environment in Visual Studio Code using SQLite, (2) writing and validating SQL queries to answer specific business questions, and (3) building a relational data model and dashboard in Power BI Desktop.
