Highly motivated and analytical Data Analyst with an MSc in Business Analytics and a strong foundation in data analysis, visualisation, and business intelligence. Proven experience managing sales, inventory, and supply chain operations using data- driven strategies. Seeking to leverage my technical skills in Power BI, SQL, and Python to deliver actionable insights and drive strategic decisions in a dynamic organisation.
- Data Analysis Tools: Power BI, Tableau, Excel (Advanced)
- Programming: SQL, Python (NumPy, Pandas, Matplotlib, Scikit-learn)
- Data Management: ETL processes, database creation, and data cleaning
- Statistical Analysis: Regression analysis, hypothesis testing, descriptive statistics
- Supply Chain Tools: Inventory Management Software Odoo and Linnworks
December 2023 - Present
- Conducted data analysis to identify trends and deliver insights to improve business decision-making.
- Created dashboards using Power BI to track KPIs and visualize key business metrics.
- Utilized SQL to clean and manipulate datasets, improving reporting accuracy by 20%.
June 2016 - August 2023
- E-commerce Sales Analysis: Utilized Power BI to analyse sales data, identify trends, and optimize product strategies, leading to a 15% revenue increase.
- Inventory Management: Streamlined warehouse operations using data models, reducing excess stock by 12% and improving order fulfilment rates.
- Supply Chain Optimization: Designed data-driven strategies for procurement and logistics, reducing lead times by 10%.
- Data-Driven Decisions: Managed purchase and sales departments by leveraging data insights to improve profitability and operational efficiency.
June 2013 – May 2016
• Designed and developed custom electronic solutions for clients, improving product delivery timelines by 10%. • Analysed customer requirements and provided tailored sales solutions, contributing to a 20% growth in sales revenue.
October 2023- October 2024
- Coursework: Data Analytics, Supply Chain Management, Statistics and Econometrics, Marketing Analytics, Operational Analytics, Machine Learning & Visualization.
- Dissertation: Sentiment Analysis as a tool for Business Analytics in the Food Sector. Conducted a dissertation focusing on sentiment analysis of food reviews, employing natural language processing (NLP) in Python to categorize reviews as positive or negative. The outcome included a detailed report highlighting the sentiment trends in food reviews and their potential impact on business decisions.