customer-insights

https://keen.io/ JavaScript SDKs. Track users and visualise the results. Demo http://keen.github.io/keen-dataviz.js/

A short hand-picked collection of resources to help SaaS founders get started with customer interviews.

💳 ETL (Extract, Transform and Load) pipeline for calculating stats for a transactions database & testing the efficacy of a loyalty program. 💻

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

Exploratory Data Analysis (EDA) on Bengaluru restaurant data to uncover insights into ratings, cuisines, cost, location, and dining trends. Built using Python, Pandas, Seaborn, and Matplotlib to understand customer behavior and food business patterns.

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

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.

A Data Analysis project performing Exploratory Data Analysis (EDA) on Global Electronics' data to uncover insights that enhance customer satisfaction, optimize operations, and drive business growth.

Trained a model that estimates if a lead is likely to be converted based on lead behavior in historical customer data using ML.

Key: descriptive statistics and exploratory data analysis, forecasting (linear regressions, ARMIA, Prophet), and a Tableau dashboard that delivers customer insights such as RFM analysis.

This program helps to create sales reports based on warehouse sales data

This repository contains a list of open source and comercial platforms that take insights from user and chatbot models conversations

SQL analysis and Power BI dashboard on top-performing movies

Workshop for integrating Dynamics 365 Customer Insights and Azure Data Services

Data Analysis Sales - Coffee Shop | Analyzing sales trends, payment methods, and top-selling drinks using Python (Pandas, Matplotlib, Seaborn).

📊 Sales Data Analysis – Coffee Shop | Analyzing sales trends, payment methods, and top-selling drinks using Python (Pandas, Matplotlib, Seaborn).

"A comprehensive SQL-based analysis of a banking database for 'The Big Bank'. This project explores customer banking behavior, transaction trends, and account management. The analysis aims to optimize banking operations, enhance fraud detection, improve customer segmentation, and increase revenue using data-driven insights."

Mediumroast for GitHub API/SDK

This project demonstrates customer segmentation using K-Means clustering, a popular machine learning technique. By analyzing customer data, we group customers into distinct segments to better understand their behaviors and preferences. This segmentation can help businesses tailor their marketing strategies and improve customer satisfaction.

Scalable multimodal AI system combining FSDP, RLHF, and Inferentia optimization for customer insights generation.