CAROLINE NJERI MWANGI

This is a simple web scraping project in Python using BeautifulSoup to get data from Wikipedia. I created compelling visualizations using Matplotlib, Seaborn, and Plotly to highlight the distribution of industries and countries by count and revenue across Africa.

How does the fusion of banking services with distributed data storage at Data Bank affect customer transaction behaviors, and what insights can be derived to inform strategic growth and resource allocation? This analysis aims to uncover the relationship between Data Bank's integrated service model and customer transaction patterns, providing actionable insights for optimizing services and enhancing customer satisfaction.

Unmasking the High-Performance Paradox: Why Are Our Top Performers Unhappy? Discover the surprising truth behind an organization's top performers and why they're feeling undervalued and stressed.

Discover the key factors driving customer churn in a bank and uncover data-driven strategies to retain high-value customers through targeted marketing, personalized offers, and innovative product bundling.

Dive into the world of healthcare analytics with my latest project— A Healthcare Provider Dashboard. This dashboard provides a clear, data-driven view of key financial metrics, such as total billing amounts, treatment costs, and medication expenses. With breakdowns by location, procedure, department, and diagnosis, I designed this dashboard to assist healthcare providers and analysts easily gain actionable insights.

Dive into the world of customer retention and purchasing behavior analysis, where understanding consumer habits can significantly enhance business growth. In this blog, I explore a comprehensive cohort analysis of an e-commerce platform, conducted in Python and utilizing heatmaps to visualize key insights. By leveraging historical transaction data, I uncover valuable information about customer engagement, tracking retention rates and purchasing patterns. Join me as I delve into the findings and recommendations that can improve customer loyalty and inform targeted marketing efforts, ultimately driving profitability in a competitive landscape.

This project focuses on improving business performance by identifying opportunities and evaluating sales performance through descriptive analysis of sales data. I conducted a comprehensive sales analysis of a retail store using a historical dataset sourced from Kaggle. The primary objective of this analysis is to gain insights into business performance by tracking historical transactions. To achieve this, I utilized Colab Notebooks for data cleaning and exploratory data analysis (EDA), along with Power BI for creating an interactive dashboard. The dataset consists of transaction records from a retail company specializing in the sale of various transportation vehicles, including cars, trucks, planes, ships, and trains. Through this project, I aim to uncover valuable insights that can guide strategic decision-making and enhance overall sales performance.

This project delves into the complexities of the energy market faced by EnergiX Enterprise. It addresses significant challenges such as fluctuating energy demand and supply, competition from renewable energy providers, evolving regulatory requirements, and the limitations posed by aging infrastructure and outdated technology. By leveraging Python in Jupyter Notebooks for data processing, visualization, and statistical analysis, I aim to uncover insights and identify strategic solutions. The goal is to provide actionable recommendations that will enhance EnergiX's energy production efficiency, stabilize pricing, ensure regulatory compliance, and improve competitiveness in the renewable energy sector.

In this project, I explore my analysis of patient satisfaction in an Emergency Room, using data from August 2019 to October 2020. By leveraging Power BI for visualization, I reveal key insights into patient experiences, including average satisfaction scores and waiting times. Join me as I highlight data-driven recommendations aimed at enhancing patient care and operational efficiency.