Bank Campaign Machine Learning Prediction

This project is about the integration of predictive modeling techniques in banking strategies, particularly focusing on deposit behavior. By leveraging data analytics and machine learning, banks can forecast customer deposit patterns more accurately, enabling them to optimize their strategies

Examining Customer Behavior in Supermarket X: A Comprehensive Analysis

This project analyzes customer shopping patterns and responses to marketing campaigns. By using data analytics, it identifies key trends and provides recommendations to optimize campaign effectiveness, enhancing customer engagement and boosting sales for the supermarket.

Netflix IMDB EDA and Text Analysis

This project analyzes Netflix and IMDb data to uncover trends and preferences. It explores factors like ratings, duration, and genres, as well as viewer sentiments from reviews. These insights help optimize content offerings for creators and platforms.

CO2 Prediction Using Multiple Linear Regression

This project is a machine learning project, that explores the use of multiple linear regression to predict CO2 emissions of vehicles based on engine size, cylinders, and fuel consumption.

Cancer Prediction Using Support Vector Machines (SVM)

This project explores the use of Support Vector Machines (SVM) to predict cancer outcomes using medical data. The goal is to classify patients based on their likelihood of having cancer by analyzing key features in the dataset. After performing exploratory data analysis (EDA) to understand feature r

Corporate Dashboard

This project is Power BI project that visualize product performance of a company (The company's name is confidential, and the dashboard display will use mockups to maintain the confidentiality of the company's data)