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

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

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

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

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

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

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

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.

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

A Node.js-powered tool that scrapes high-quality SaaS product reviews from platforms like G2, Capterra, and Trustpilot (Bonus). Scrapeflow — structures Reviews into clean, standardized JSON—empowering product teams to extract insights, monitor sentiment, and prioritize what matters most.