Projects
Welcome to my Projects page! This page describing about my projects such as Chatbot Customer Care Restaurant ABC, ETL Pipelines from Scraping Website Fashion Studio, Classification - Transaction Customer Banking Analysis, and Clustering - Transaction Customer Banking Analysis.
Chatbot Customer Care Restaurant ABC
Published in Streamlit Platform, the chatbot simulation enable customers to order foods and beverages. In addition, customers can select delivery and payment methods.
ETL Pipelines from Scraping Website Fashion
Data processing methods include extract (scraping from website) using BeautifulSoup, transform (change currency and data type such as integer and float) from 1000 data scraped into 867 data, and load (export ETL file to CSV, Google Sheets, and PostgreSQL).
Classification - Transaction Customer Banking Analysis
Classification data such as testing values in Decision Tree and Random Forests Algorithm, with Model Accuracy and Model Evaluation reaching 98%. In addition, Hyperparameter testing results from two algorithms with values reaching 0.974.
Clustering - Transaction Customer Banking Analysis
Clustering data such as remove duplicate and null data, encoding data, creating K-Means Eblow Method, aggregate results, and exporting file as CSV to be used in classification data. There are three clusters such as cluster 0, cluster 1, and cluster 2 each has different results.
