Data-driven and analytical recent graduate with a Bachelor of Commerce (Major in Data Analytics) from Macquarie University, complemented by hands-on experience in data analysis, inventory management, and financial modelling. Proficient in Python, SQL, Excel, and data visualisation tools such as Tableau and Power BI. Certified in IBM Data Science, with expertise in machine learning, predictive modelling, and statistical analysis. Adept at transforming raw data into actionable insights to drive business decisions and operational efficiency. Strong foundation in accounting, working with big numbers in logistics, and administrative support, with a proven ability to collaborate across teams and deliver innovative solutions.
Programming Languages: Python, SQL, R (basic)
Data Tools: Pandas, NumPy, Matplotlib, Seaborn, Tableau, Power BI
Machine Learning: Scikit-learn, Regression, Classification, Clustering
Database Management: MySQL, Excel (Advanced)
Problem-Solving: Identified and resolved operational inefficiencies in inventory management and logistics
Team Collaboration: Worked effectively with cross-functional teams to implement data-driven solutions
Communication: Simplified complex financial and data concepts for non-technical stakeholders through reports and presentations
Time Management: Balanced multiple responsibilities, including accounting, marketing, and administrative tasks, while meeting deadlines
Attention to Detail: Ensured accuracy in financial reporting, legal documentation, and inventory tracking
IBM Data Science Professional Certificate – IBM
Skills Gained: Python, SQL, Data Analysis, Machine Learning, Data Visualisation, Predictive Modelling