Dynamic IDT first rotation graduate with a strong blend of technical expertise and business acumen. Experienced in driving business decisions and optimizing processes through data-driven insights gained from data analyst internships. Possesses a year of portfolio management experience, focusing on simplification, optimization, and enhancing operational efficiency. A continuous learner, dedicated to refining and streamlining processes using data insights to maximize value and align technical solutions with strategic business goals.
Advanced from a part-time crew member to a Shift Manager, showcasing commitment, rapid learning capability, and excellent communication abilities. Key skills demonstrated include:
• Data Analysis: Analysed data from Uber Eats, Deliveroo, and Just Eat for three stores in the Somerset region using Tableau and Excel. Identified delivery sale trends and discrepancies, minimized unnecessary refunds, and enhanced delivery efficiency.
• Financial Management: Utilized VBA in Excel to streamline routine tasks within the store, simplifying financial processing and tracking waste and labour costs. Implemented strategies based on this data to effectively reduce labour and product wastage costs.
• Problem Solving: Addressed crises such as unexpected customer influx, staff shortages, equipment malfunctions, and customer grievances with effective problem-solving skills.
• Leadership: Guided and evaluated crew members in daily tasks and skill development, fostering a productive team environment.
Assisted Dorothy House fundraisers as Data Analyst to develop successful future campaigns establish better external partnerships, and create stronger ties with donors by carrying out the following actions:
• Determined the top donors using RFM analysis in R and Tableau to rank quantitatively and group donors based on the recency, frequency and monetary total of their donations.
• Identified donation patterns and customer segments to help develop customised campaigns and services Using unsupervised clustering techniques in R.
• Assessed campaign effectiveness and identified top-performing marketing initiatives, as well as donation habits, through Association Rule Mining in R, which assisted in predicting potential donor defections from campaigns.
Conducted an in-depth research under Dr. Teslim Bukoye, on the topic of "Benefit Realisation" using relevant and timely research methods, systematic literature review using R and Excel to improve projects in both public and private sector organisations from a project management perspective.
Worked as a Market Research Analyst at Whiley & Co., contributing significantly to the start-up's diversification into various sectors. Responsibilities included:
• Conducted extensive, systematic research and analysis of the VR/AR/XR technology-enabled learning market, employing suitable market research strategies and data analysis methodologies.
• Executed thorough market research leveraging tools such as Porter's Five Forces, PESTLE, value proposition models, among others.
• Identified 14 potential market sectors and prepared an in-depth research report on 3 key sectors, detailing market size, projected growth, competitors, prospective investors, and strategic recommendations.