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.

Business consulting plugin for Claude — 16 skills, 24 commands, 5 industry overlays. Market research, competitive analysis, financial modeling, strategy frameworks, pricing, M&A, digital transformation, risk, talent, and more.

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

This repository features the Retail sales and customer insights dashboard demonstrating data cleaning and analysis using Excel, Python, and SQL, along with interactive visualization in Power BI. Explore the code and reports to gain insights into sales performance, customer behavior, and product trends. A complete end-to-end data analytics workflow

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).

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

A Power BI project analyzing sales, profit, customers, regions, products, and shipping performance of a retail superstore. The dashboard provides a 360° view of business performance with KPIs, trends, and actionable insights.

Workshop for integrating Dynamics 365 Customer Insights and Azure Data Services

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.

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.

Unlocking key business insights from food delivery order data using SQL. This project dives deep into customer behavior, order patterns, and city-level performance to support data-driven decision-making in the food delivery industry. 🛠 Tools Used: SQL Server 📂 Dataset: Simulated Food Delivery Orders Data

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

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

Insight Platter: A comprehensive platform offering actionable insights from restaurant reviews through web scraping, sentiment analysis, and data visualization.

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.

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.

Analyzes promotional campaign performance for an FMCG client across products, stores, and cities using sales and events data. Delivers business insights on revenue uplift, sales impact, campaign effectiveness, and promotion performance through clear visualizations.

This capstone Power BI analytics project was developed to support Techtronix Innovations, a leading AI player in the microchip and robotics industry. The project addresses key business challenges including sales strategy optimization, customer insights, inventory management inefficiencies, and identification of profitable market opportunities.

Mediumroast for GitHub CLI and API/SDK