Austin Amadi's repositories
Annual-Sales-Performance-Analysis-with-Power-BI
This GitHub repository contains a comprehensive analysis of annual sales performance utilizing Power BI. Leveraging sales data alongside demographic information, this project aims to provide actionable insights into customer behavior and purchasing patterns.
CUSTOMER_CHURN_PREDICTION
Predictive analytics project focused on customer churn prediction. Leverage machine learning algorithms to analyze historical customer data and forecast potential churn events. Implement data preprocessing, feature engineering, model training, and evaluation techniques to develop accurate churn prediction models.
Dune-Sales-Analysis-Insights-Unveiling-Patterns-and-Trends-in-Revenue-Generation
In this data analysis project, conducted using Jupyter Notebook, I delved into a comprehensive exploration of sales data to extract valuable insights and uncover patterns that could drive strategic decision-making. The project aimed to provide a detailed understanding of the company's sales performance over a specific time period.
STERLING-E-COMMERCE
A comprehensive Excel dashboard that helps Sterling E-commerce to better understand their customers' needs, preferences, and behavior. It leverages the power of data can help the company make more informed decisions and boost effectiveness.
Predictive-Maintenance-for-Aircraft-Engines
In response to the growing demand for enhanced safety measures and increased operational efficiency, this project focused on Predictive Maintenance for Aircraft Engines.
Heart-Disease-Predictions-using-Supervised-Learning
A transformativeproject focusing on predicting heart disease using supervised Machine Learning techniques. The goal was to develop a predictive model that could identify individuals at risk of heart disease, fostering early intervention and ultimately saving lives.
Property-Prices-HM-properties
Using Tableau, I created a comprehensive dashbord that with an efficient story that highlights insights and identify trends and patterns inherent in the dataset to optimize the company's operations.
SM-Stores-SQL-Project-
A realtime case study that required the use of SQL to analyze data and generate insights for decision making.
SQL-Fraudulent-Transactions-in-the-Bank
Using SQL queries, I crafted complex algorithms to detect suspicious behavior, uncovering hidden connections and irregularities that may indicate fraudulent transactions