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predictive-analytics-for-business

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Today’s business objectives are achieved with user research, design, distribution, analysis, and strategy. Whether you’re getting started or advancing your career, I establish my foundations with many School of Business such as ( Udacity , LinkedIn , IMA , CFI) ,and some Jordanian universities such as (Jdara, Al-Zaytoonah , And Arab Open univers…

  • Updated Oct 14, 2024

Customer Segmentation - Using k-means, About: Customer Segmentation is a popular application of unsupervised learning. Using clustering, identify segments of customers to target the potential user base. They divide customers into groups according to common characteristics like gender, age, interests, and spending habits.

  • Updated Aug 22, 2023
  • Jupyter Notebook

Supply chain analytics is a valuable part of data-driven decision-making in various industries such as manufacturing, retail, healthcare, and logistics. It is the process of collecting, analyzing and interpreting data related to the movement of products and services from suppliers to customers.

  • Updated Jul 28, 2024
  • Jupyter Notebook

It's Technocolabs Software Data Scientist Internship Project (1st Dec 2021 - 15th Jan 2022). In this project the team was instructed to analysis big data of Spotify users and to perform Statistical and Exploratory Data Analysis and Model Development for Predicting Listener Behavior.

  • Updated Feb 21, 2022
  • Jupyter Notebook

A major gas and electricity utility that supplies to corporate, SME (Small & Medium Enterprise), and residential customers. The power-liberalization of the energy market in Europe has led to significant customer churn, especially in the SME segment. They have partnered with us to help diagnose the source of churning SME customers.

  • Updated Apr 22, 2023

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