Customer Churn Analysis
Analyzed a dataset of 5,880 customer records to identify key drivers of churn and developed targeted strategies to improve customer retention.

Self-taught data Analyst with a strong background in mathematics and physics. Skilled in Python, SQL, Microsoft Excel, Tableau and Power BI, adept at leveraging analytical skills to extract insights from complex datasets. @Segun_B_.
Analyzed a dataset of 5,880 customer records to identify key drivers of churn and developed targeted strategies to improve customer retention.
This project involves comprehensive analysis and visualization of a retail sales dataset with over 300,000 transactions using Python and Tableau. The goal is to provide actionable insights into sales trends, customer behavior, product performance, and geographic sales distribution.
In this project, we focus on analyzing comprehensive data related to bookings, guest demographics, distribution channels, and financial metrics within the hospitality industry.
This project leverages the Spotify API to analyze listening habits and curate a personalized playlist of top 100 most popular liked songs.
The goal of this project was to scrape mission data from the SpaceX website, specifically focusing on launch dates, mission names, and detailed mission headlines such as rocket vehicle used, and launch site.
Analysis and visualization of synthetic weather with 1,000,000 (1 million) data points generated for ten different locations, including New York, Los Angeles, Chicago, Houston, Phoenix, Philadelphia, San Antonio, San Diego, Dallas, and San Jose..
Stakeholders often find insights more comprehensible when presented visually rather than numerically. Recognizing this, I have thoroughly researched and mastered the use of various chart types to effectively communicate insights tailored to different audiences. Below, you will find a collection of dashboards that showcase various data domains, covering a range of data from Medical and Health to Retail and Sales sectors.
Abuja, Nigeria