Aspiring data scientist with a passion for leveraging big data to drive insights and innovation. A target-driven individual with an immaculate record of academic success, combined with a wealth of experience handling sub…
Aspiring data scientist with a passion for leveraging big data to drive insights and innovation. A target-driven individual with an immaculate record of academic success, combined with a wealth of experience handling substantial data volumes within the corporate setting. Contributed to one of the biggest companies in the UK; EG Group. Seeking opportunities to further excel in the dynamic field of data science.
<p>Analysed sales data for Beehive, Blackburn – a conglomerate of EG brands, including Starbucks, Subway and Greggs.<br>
Utilised SQL to query and filter data for analysis purposes.<br>
Employed Python to import, clean, and conduct analysis on the data.<br>
Generated visualisations such as time series graphs, regression analysis plots, and boxplots to illustrate sales trends.<br>
Conducted statistical tests on variables influencing sales, including day of the week and season.<br>
Developed forecasting models leveraging three years of historic data, including ARIMA and basic machine learning techniques.<br>
Presented findings to senior management and stakeholders.<br>
Currently supporting senior members’ projects – including fraud analysis and exploring the new market of EV charging.</p>
<p>Created and presented a PowerBI coffee dashboard, providing actionable insights for the Central Buying Department.<br>
Utilised company learning hours to develop a personal finance tracker using PowerBI - displaying income/expenses, categories for spending, and budgeting.<br>
Led an independent fuel pricing project, using Microsoft Excel for data handling and analysis.</p>
<p>Acquired proficiency in SQL through rigorous daily practice and self-learning initiatives.<br>
Utilised SSMS extensively and gained exposure to SSIS and SSRS.<br>
Upheld database standards across all areas, ensuring data integrity and availability.<br>
Supported database creation, design, and testing efforts, including planning for scalability, and optimising table structures.<br>
Identified and resolved database security vulnerabilities, implementing access controls to safeguard sensitive data.</p>
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