As a data analyst, I help companies transform data into actionable insights and optimize business performance. I use data analysis, visualization, and reporting tools such as Power BI, Tableau, and Excel to create dashboards, charts, and reports that support data-driven decision-making across various departments and functions.
I have a bachelor's degree in business information systems from Holmes Institute in Australia, where I learned the fundamentals of data management, business intelligence, and analytics. I also completed two online courses on Coursera, Foundations: Data, Data, Everywhere, and Power BI Desktop, to enhance my skills and knowledge in data analytics. I am passionate about finding patterns, trends, and insights from data and presenting them clearly and compellingly. My goal is to continue learning and growing as a data analyst and contribute to the success of GTX and its clients.
Sales Forecasting and Inventory Optimization: Utilized SQL queries and statistical analysis techniques to forecast demand patterns in the travel industry, leading to a 15% reduction in overbookings and a 20% increase in revenue through optimized pricing and inventory management strategies.
Customer Churn Prediction and Retention Strategy Analysis : Utilized SQL queries and logistic regression analysis to predict customer churn in a travel agency, achieving an accuracy rate of 85% and providing actionable insights for reducing churn and retaining customers
Customer Segmentation and Targeted Marketing Analysis: Applied SQL queries to extract and pre-process transactional data to conduct customer segmentation analysis, resulting in actionable insights for targeted marketing strategies, demonstrating proficiency as a junior data analyst.