
Analytically minded and highly motivated Master of Data Science student with over four years of experience in retail management. Proficient in SQL, data visualization, and collaborative problem-solving, with a strong passion for leveraging data to uncover insights and support strategic decision-making. Eager to contribute analytical expertise in an entry-level or graduate data analyst role while growing within a dynamic, data-driven team. Committed to driving impactful results through innovative data solutions and continuous learning.
Languages & Tools: Python, SQL, MySQL, NoSQL (MongoDB), XML, HTML, CSS, JavaScript
Data Tools: Pandas, Matplotlib, Jupyter Notebook
Web & Software: GitHub, VS Code, Microsoft Excel, Tableau (basic, SAP SuccessFactors, Kronos, Medallia CRM
Soft Skills: Team leadership, Financial Reporting and Budgeting, Microsoft Suite, problem-solving and communication, Payroll and Book keeping
Wine Quality Data Analysis
• Tools: Python, Pandas, Matplotlib
• Cleaned and explored red and white wine datasets; visualised correlations between pH, alcohol, sulphates, and quality scores.
• Provided insights through data storytelling and proposed classification model (initial phase).
Mathematics & Spelling Game for Children
• Tools: Python, Pygame
• Created an interactive and educational desktop game in a team environment.
Led debugging and logic design for the arithmetic module; supported GitHub collaboration