Customer Insights AI analyzes customer behavior, engagement patterns, and purchasing trends using machine learning techniques. It helps businesses identify valuable customer segments, predict future behavior, and make data-driven decisions to improve growth and retention.
Personalized GitHub Profile for better view of Open-Source Contributions.
we can say this project about the exploratory analysis with supermarket dataset.
Developing a centralized social media analysis platform for company products with dedicated visual analytics.
Aquawatt is an IoT-powered solution to monitor and manage water and electricity usage per room. Using low-cost sensors, it tracks real-time consumption, sends data to a web dashboard, and provides insights with charts and summaries. Users can detect abnormal usage, optimize routines, and cut bills by up to 15%.
Dashboard first-party para medir visitas, cliques e instalações, sem Google Analytics nem Firebase. Stack: Next.js · TypeScript · Recharts · armazenamento NDJSON append-only · API Route Handlers para ingestão e consultas.
Exploring the artistry of data analytics – transforming numbers into insights, displayed dynamically through the canvas of a website.
Just made an mini project to connect Spotify API to localhost DBMS
This project focuses on analyzing customer lifetime value using various data visualization techniques. By leveraging Python libraries such as Pandas, Seaborn, Plotly, and Matplotlib, the analysis provides insights into customer acquisition costs, revenue generation, conversion rates, and return on investment across different marketing channels.
Analysis initiated for Blood Pressure Level, Body Mass Index Status, Stress Level, Physical Activity and Sleeping Duration | Using Tableau
XAUUSD HUB pro live trading na M1 timeframe
A privacy-first Android application built with Jetpack Compose for seamless MPESA transaction tracking, budget planning, and financial analytics.
A multi-tenant Flask app that gives every South African stokvel (informal savings group) the record-keeping, transparency, and forward planning that a bank account alone doesn't provide — group membership, a shared ledger, live statistical forecasting per member, and admin-controlled payouts, all isolated per group and backed by a real database
🧰 Professional SEO tools & analytics.
This task focuses on Data Cleaning and Preprocessing 🧹. Your objective is to clean a raw dataset by handling missing values, removing duplicate rows, and standardizing data formats.
Here are many projects to analyze the lap times (one or more laps). For the most of the projects you need Pythonlibraries (Pandas, matplotlib, numpy). Have fun iwth my projects and write your feedback in the comments
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