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.

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

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.

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

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

Workshop for integrating Dynamics 365 Customer Insights and Azure Data Services

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

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

This project presents an interactive Power BI dashboard for analyzing Blinkit sales performance across multiple dimensions such as product categories, outlet size, fat content, and year-wise trends.

Behavior-based consumer segmentation and predictive modeling using R for AXANTEUS client analysis.

This project provides an interactive analysis of Superstore sales data using Tableau, offering insights into sales performance, customer behavior, and market trends to help optimize business strategies.

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