Psychology at University of East London
I’m a Data Analyst with hands-on experience in SQL, data modelling, business intelligence, automation, and operational reporting. I’m currently completing an MSc in Computer Science with Data Analytics, where I’m strengthening my technical foundation in data engineering, analytics, and applied machine learning. My recent work has focused on building automated dashboards, improving data pipelines, and delivering actionable insights for senior leadership. I have practical experience analysing operational performance, costs, utilisation, and workflow efficiency, and I enjoy turning complex datasets into clear insights that drive better decision‑making. I work confidently with SQL, Python, Excel, Power BI, Tableau, and modern data tools to extract, clean, validate, and transform data into meaningful metrics. I’m particularly motivated by roles where data supports production efficiency, forecasting, continuous improvement, and strategic planning. I’m looking to grow within a data‑driven organisation where I can contribute to improving data processes, strengthening analytics maturity, and delivering insights that support operational excellence and long‑term business goals.
Dataset We'll be exploring the Google Merchandise Store dataset, containing data on website users from the US from October 1, 2016, to December 31, 2016. This dataset is sourced from the Google Merchandise Store, a real e-commerce platform offering Google-branded merchandise, including apparel…
Situation At a leading consulting firm, the finance team is facing a complex challenge: the company lacks a centralised view of the financial performance and financial models are created at a country level without being aggregated. This lack of clarity obscured the true financial health and…