I am a dedicated Data Analyst student with a strong foundation in Applied Science, currently honing my skills through hands-on projects and an internship as a Junior GIS Analyst. My passion for data analysis drives me to continuously explore new techniques and methodologies to extract meaningful insights from complex datasets.

• Data Analysis: Data cleaning, preprocessing, modelling, and visualization
• Machine Learning: AI-based models, deep learning techniques
• GIS Analysis: Spatial data analysis and visualization

• Computer Vision and AI-Based Ripeness Classification of Oil Palm Fruits: Developed a model using Python and AI techniques, achieving a 98% accuracy rate in classifying the ripeness of oil palm fruits.
• Sales Data Analysis: Analyzed and visualized sales data using SQL and R, identifying key trends and insights to drive business decisions.
• Customer Segmentation: Implemented clustering techniques in Python to segment customers based on purchasing behaviour, enabling targeted marketing strategies.

I'm continuously expanding my data science and analytics knowledge through coursework, personal projects, and industry experience. I aim to become a proficient data scientist capable of solving real-world problems using data-driven approaches.

Feel free to explore my repositories to see some of the work I've been involved in!