Hi, I’m Siamul Islam Ibsan, a passionate Data Analyst and Assistant Programmer at the Ministry of Education, Bangladesh. With a love for turning data into actionable insights, I specialize in analyzing complex data sets and developing solutions to improve decision-making processes. In my role at the Ministry, I work on creating and optimizing software systems to enhance educational services and ensure efficient data management. My work blends analytical expertise with a problem-solving approach to drive innovation and improve outcomes in education. On this website, you’ll find my projects, tutorials, and insights on data analytics, programming, and technology. I’m always excited to connect with like-minded professionals and collaborate on innovative ideas.
This analysis uses the Recency, Frequency, and Monetary (RFM) method to better understand customer behavior. The main goal is to find useful patterns, group customers into segments, and predict factors that might cause customer churn in the future. These insights help businesses make smarter decisio
This analysis aims to explore e-commerce sales data, uncover key trends, and provide actionable insights. The goal is to analyze sales performance, identify revenue patterns, and understand customer behavior to support better decision-making.
This project focuses on analyzing customer churn to understand why customers stop using a service or product. Reducing churn is crucial for business growth, as retaining existing customers is often more cost-effective than acquiring new ones.
The Airport Authority Data Analysis project provides a comprehensive overview of key airport data. The summary page dashboard includes essential metrics such as the total number of flights (arrivals and departures), flight delays (both incoming and outgoing), ground processing time, and passenger fe