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Feb 20, 2017 - R
customer-insights
Here are 20 public repositories matching this topic...
💳 ETL (Extract, Transform and Load) pipeline for calculating stats for a transactions database & testing the efficacy of a loyalty program. 💻
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Apr 25, 2017 - Jupyter Notebook
This program helps to create sales reports based on warehouse sales data
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Dec 6, 2017 - COBOL
Have you ever wondered who your most valuable customers are? This project, created for a software company, sought to identify those who stand out above the rest.
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Jan 25, 2018 - Python
https://keen.io/ JavaScript SDKs. Track users and visualise the results. Demo http://keen.github.io/keen-dataviz.js/
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Jun 18, 2019
Key: descriptive statistics and exploratory data analysis, forecasting (linear regressions, ARMIA, Prophet), and a Tableau dashboard that delivers customer insights such as RFM analysis.
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Aug 7, 2020 - Jupyter Notebook
Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.
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Dec 12, 2020 - Python
This repository contains the Business Intelligence insights generated as part of the final project challenge for the DTU Data Science course 42578: Advanced Business Analytics
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Feb 14, 2021 - Jupyter Notebook
Customer Intelligent from scratch
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Jul 7, 2021
Workshop for integrating Dynamics 365 Customer Insights and Azure Data Services
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Nov 1, 2021
In the retail industry a trade area, also known as a catchment area, is the geographic area from where you draw your customers. Here I derive trade area from scratch
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Mar 28, 2022 - Python
This repository is about data visualization of a bank's customer insights. This bank has four branches in Scotland, Northern Ireland, Wales and England. The bank manager wants to analyze how its customers are distributed in the four countries. Now this can be done in various ways, what percentage of males or females are account holders in the ba…
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Aug 15, 2022
The project aims at developing a traveller insight dashboard that can help Swiss Online Travel Agencies(OTAs) to improve conversion cross traveller’s digital decision making process
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Dec 19, 2022 - Jupyter Notebook
A Rust crate for calculating Net Promoter Score (NPS) from survey responses.
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Jun 24, 2023 - Rust
This repository is all about creating the framework for the digital banking
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Sep 4, 2023
Leveraging K-Means clustering, our project categorizes retail customers based on purchasing behaviors and demographics. This provides businesses with actionable insights to tailor marketing efforts, enhancing customer experience and boosting sales.
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Sep 17, 2023 - Jupyter Notebook
Классификация клиентов банка для прогнозирования вероятности открытия депозита.
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Feb 13, 2024 - Jupyter Notebook
Leveraging K-Means clustering, our project categorizes retail customers based on purchasing behaviors and demographics. This provides businesses with actionable insights to tailor marketing efforts, enhancing customer experience and boosting sales.
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Feb 21, 2024 - Jupyter Notebook
Mediumroast for GitHub CLI and API/SDK
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May 22, 2024 - JavaScript
Mediumroast for GitHub API/SDK
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May 22, 2024 - Python
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