About Me
Final-year Informatics and Telecommunications undergraduate on a mission to become a Junior Data Analyst.I specialize in translating messy datasets into visual narratives that drive growth.
By combining the power of SQL, the flexibility of Python and the visualization capabilities of Power BI to uncover hidden patterns and deliver data-driven solutions
for real-world business challenges. Continuously expanding my toolkit through hands-on projects and certifications from platforms like DataCamp, focusing on predictive modeling and advanced SQL techniques.
This project aims to predict the likelihood of student dropout using various machine learning algorithms.
By analyzing lifestyle habits,academic performance and demographic data, the model provides data-driven
insights to help educational institutions implement early intervention strategies.
The project focuses on the delicate balance between high-volume sales and the underlying costs of the supply chain—specifically COGS,
freight, and last-mile delivery.
The primary goal is to evaluate the financial distribution and social impact of humanitarian projects to provide data-driven insights for future strategic planning.
By leveraging SQL, i extracted insights into how funding correlates with regional impact scores to guide future resource allocation.
