Mutethia D Kigea's Projects
Adventure-Sales-PowerBI-Visuals
This a project based on Adventure work's KPIs.
The objective of this project is to analyze passenger behavior within airports and understand the relationship between airport traffic and the associated hotels. Leveraging SAS for analytics and SQL for database querying, this project aims to derive insights into passenger demographics, travel patterns, and hotel preferences within airport .
This is a repository on importing data in R, cleaning of the data, analysis and presentation.
This is a simple program to show how an ATM functions.
This is a s ample of sql for a banking DBMS
This is an analysis of the fiscal status of Primez SACCO and the set of failed banks. Here, I have employed Python and SAS for analytics and PowerBI for Data visualizations.
A project for analyzing historical carbon emissions data. Explore trends, sector-specific insights, and country comparisons to inform climate policies and sustainability efforts. Includes visualizations, time series analysis, and forecasting tools.
This a simple analytics models of grade 2 students marks scores
A claim is filed if someone is injured, or if someoneβs property is lost or damaged during the screening process at an airport. The claims data is in TSAClaims2002_2017.csv file was created by concatenating publicly available TSA.
In this repo I will be Analyzing vast datasets on weather patterns, energy consumption, and carbon emissions that will help optimize renewable energy integration, predict extreme weather events, and identify areas for sustainable development.
Explore COVID-19 data analysis focusing on global and regional trends, with a deep dive into Kenya's situation up to April 29, 2020. Valuable insights for informed decisions.
This is MySQl DB code for building customers database
This a project based on best data practices in a financial environment such as Microfinances, Saccos and Banks. The project has elements like fraud detection, customer analytics, credit scoring, and many more.
This app prompts one to insert their glucose, blood pressure, Insulin, and BMI values and predicts whether they have diabetes.
Predicting diamond prices using data science and ML to unlock pricing insights from diamond characteristics.
This is a streamlit web app for predicting diamond prices
This is MySQL simple database for employees
This is a simple db. for employees showing how one can perform querries and joins
This is a query for factory database
This is an analytic for fraud detection in a bank using data acquired from Kaggle