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This project focused on applying machine learning to build a clustering model to segment and analyze customer characteristics in the airline industry based on LRFMC scores using K-Means and suggest business strategy recommendations based on the results.

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clustering dimentionality-reduction elbow-method kmeans-clustering mechine-learning pca-analysis python recency-frequency-monetary unsupervised-learning

airline-customer-segmentation-based-on-lrfmc-model-using-kmeans's Introduction

Hi there! 👋🏼

I'm Faiz! I'm aspiring to become a data professional, and I'm all about that hustle to keep learning and growing in the data game. I'm diving into the world of data analysis, data science, and data engineering, even though my formal education didn't exactly lead me down the computer science or statistics path. But guess what? I'm not letting that stop me!

✅ Competencies

Explotaroty Data Analysis, Data Wraggling, Statistical Analysis, Data Visualization, Machine Learning, Natural Language Processing, ETL/ELT, RDBMS

💻 Tech Stack

Python, SQL (MySQL, Postgres, MS SQL Server, Dbeaver), BigQuery, Tableau, Looker Studio, Spark, Airflow, Kafka, Docker, Google Cloud, Streamlit

📂 Project Portofolio

Click here, please!

airline-customer-segmentation-based-on-lrfmc-model-using-kmeans's People

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