Customer Personality Analysis Using Clustering

Data Analysis Project using Python(Numpy, Pandas, Seaborn, matplotlib)

BigData system to capture user actions on buttons and links, as well as their time spent on a website, to subsequently perform unsupervised clustering and analysis of keywords via generative AI and webscraping. Javascript application that connects to MongoDB, using a node.js server, and passes the captured data to a Python backend.

Business Case : Aerofit - Descriptive Stats & Probability

Identifying customer segmentation from history data of Everything Plus, an online household store using KMeans Algorithm (submitted as final project for course in Practicum Indonesia)

Customer Personality Analysis Using Clustering

Customer segmentation is a pivotal task for business analytics. Customer segmentation is the process of splitting customers into different groups with similar characteristics for potential business value proposition. Many companies find that segmenting their customers enable them to communicate, engage with their customers more effectively. Futu…

Business Case: Aerofit - Descriptive Statistics & Probability

A Fitness Company wants to know the customer behavior towards the threadmill and want recommendations to increase its profits.

Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling

Analyze the data of Visa applicants, build a predictive model to facilitate the process of visa approvals, and based on important factors that significantly influence the Visa status recommend a suitable profile for the applicants for whom the visa should be certified or denied.

Applied SAS techniques for data analysis and machine learning in a milestone project. Base SAS Programming and SAS Viya tools were utilized for preprocessing, customer profiling, sales analysis, promotions, supplier evaluation, and customer segmentation. Results were visualized comprehensively.