burger-restaurant-database

This project focuses on creating a comprehensive database for a burger restaurant using SQL, along with an Entity-Relationship (ER) diagram generated using dbdiagram.io.

customer-segmentation-using-k-means-clustering

This project aims to apply the K-means clustering algorithm to segment supermarket customers based on their spending behavior. The goal is to identify distinct customer groups and develop targeted marketing strategies.

free-fire-vs.-pubg-facebook-page-analytics

This project aims to analyze the Facebook page insights of Free Fire and PUBG, the most popular battle royale games in Thailand, using Google Sheets.

google-data-analytics-capstone-project-cyclistic

This is my capstone project for the Google Data Analytics Professional Certificate, where I explore insights from Cyclistic, a bike-share company in Chicago.

google-play-store-apps-data-analysis

This project explores the Google Play Store app ecosystem using a Kaggle dataset. It will analyze app ratings, categories, genres, user reviews, and sentiment to gain insights.

google-trends-dashboard-for-smartphone

This project aims to leverage R programming to gather data from Google Trends and create an insightful dashboard using Looker Studio. The primary goal is to discover the search interest for flagship smartphones of various brands

ibm-hr-analytics-dashboard

This project utilizes IBM HR Analytics data to create a Power BI dashboard for a comprehensive view of employee dynamics. Insights on attrition rates, job satisfaction, and demographic insights.

mercedes-benz-price-prediction

The Mercedes-Benz Price Prediction project uses R and key libraries like tidyverse, caret, and randomForest to create a data-driven pricing tool. It empowers junior salespeople with accurate predictions for used Mercedes-Benz car prices.

pantakanch