This project analyzes Sales, RFM, Cohort, Churn, and CLV using SQL, Python, and Tableau to help Kalbe Nutritionals understand sales trends, customer segmentation, and retention strategies.
Optimization Strategy for Sales and Customer Loyalty at Kalbe Nutritionals Read More »
End-to-end Telco Churn Data Engineering Project using Docker, Python, Apache Airflow, PostgreSQL, and Spark. This project automates data ingestion, processing, and storage through a scalable pipeline. Airflow orchestrates the workflow, Spark handles batch processing, and PostgreSQL serves as the primary database. Dataset: Telco Customer Churn (dibimbing) | Dataset: Telco Customer Churn (Kaggle)) https://github.com/hijirdella/Telco-Churn-Data-Pipeline Dashboard Looker Studio
Data Engineering Project: Building a Telco Churn Analysis Pipeline Read More »
Best Group and Best Student Awarded for Data Science Final Project predicting Home Credit customer default risk. Involves data preprocessing, EDA, feature engineering, and ML with XGBoost & Stacking. Provides actionable insights to enhance credit risk management and reduce default rates. Project Overview The Data Science Final Project focuses on predicting the risk of customer default using
Home Credit Default Risk Prediction: Data Science Final Project Read More »
