customer-profiling

There are 14 repositories under customer-profiling topic.

  • Pegah-Ardehkhani/Customer-Segmentation

    Customer Personality Analysis Using Clustering

    Language:Jupyter Notebook20103
  • GlobussBiogestion/BigData-and-Generative-AI-customer-profiling-system

    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.

    Language:Python1100
  • Lefteris-Souflas/SAS-Programming-and-Machine-Learning

    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.

    Language:SAS1100
  • ManinderpreetPuri/Customer-Segmentation-and-Profiling

    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. Future Bank is conducting an analysis on the existing customer profiles and the marketing campaign data to identify the target customers who are mostly likely to subscribe long-term deposits. As a member of the data analytics team, I am tasked to analyse historical data and develop predictive models for marketing purposes. I have used SAS Enterprise Miner and Rstudio to perform the analysis.

  • SwathiRekhaM/Tourism_VisitWithUs_Project

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

    Language:Jupyter Notebook1100
  • aditya-shinde16/Aerofit_Case_Study

    Business Case: Aerofit - Descriptive Statistics & Probability

    Language:Jupyter Notebook0101
  • alef-s/Easy_Visa

    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.

    Language:Jupyter Notebook0100
  • fennywijaya/E-commerce

    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)

    Language:Jupyter Notebook0100
  • Keerthiga-Sekar/-Predicting-Employees-Preferred-Mode-of-Transport-

    Analyze the data of ABC consulting company, build a predictive model based on the parameters like age, salary, work experience and predict the preferred mode of transport.

    Language:Jupyter Notebook0100
  • SejalKankriya/customer-insight-clustering

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

  • Siddhu-T/Aerofit-Business-Case-Study

    Business Case : Aerofit - Descriptive Stats & Probability

    Language:Jupyter Notebook00
  • SwathiRekhaM/CardioGoodFitnessProject

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

    Language:Jupyter Notebook0100
  • MrJay07/customer-segmentation

    Customer Personality Analysis Using Clustering

    Language:Jupyter Notebook
  • xuyfe/insurance-response-classifier

    EDA and an Ensemble model comprised of XGBoost, CatBoost, LightGBM, and other algorithms to predict whether existing customers will respond positively to new insurance offers based on demographic data. Submission as part of Kaggle competition.

    Language:Jupyter Notebook