A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data.

MCP server for data analytics — Shopify, Stripe, CSV analysis, forecasting, ML. Works in Claude, Cursor, and any MCP client. Ask a question, get an interactive report.

Enterprise-grade CSV data quality analyzer powered by Machine Learning. Automatic anomaly detection, statistical profiling, PII scanning, and actionable insights. Secure user authentication, custom data pipelines, and interactive dashboards. Production-ready SaaS application.

An AI-powered trade prediction system using machine learning, technical analysis, and time series models. Built with FastAPI, React, and Tailwind CSS.

InsightData is an intelligent data analysis tool that turns natural language queries into Python code. Built using Streamlit, LangChain, and Google Gemini (Flash 2.5), it allows users to upload datasets (CSV/Excel) or connect Google Sheets to perform EDA, clean data, and generate matplotlib visualizations instantly. Supports English & Indonesian.

This project aims to analyze e-commerce data to derive meaningful insights about customer behavior, sales trends, and product performance. We utilize Python, MySQL, and various data visualization libraries to perform the analysis.

A menu-driven Student Result Analysis system built with Streamlit and Pandas. Perform automated grading, topper identification, and subject-wise performance analysis from CSV data.

🧠 A 100% local, privacy-focused RAG system that lets you chat with PDFs, CSVs, and NoSQL data offline using Ollama & ChromaDB.

This project uncovers audience behavior patterns by analyzing YouTube video engagement metrics using Python. From 360° EDA to interactive dashboards, it breaks down how views, likes, dislikes, and comments reveal user sentiment and content performance, built with NumPy, Pandas, Seaborn, Dash, and hypothesis testing to produce real time analytics.

An interactive web app to analyze tweet sentiments using TextBlob or VADER. Supports real-time predictions and CSV uploads for bulk analysis. Features automatic tweet cleaning, model selection, and sentiment visualizations with Seaborn/Matplotlib.

AI-powered financial analysis platform built with Django and AWS Bedrock, designed for accountants to gain insights from CSV data with multi-agent support (MCP).

A High-Performance RAG Engine using Streamlit, LangChain, & Gemini 2.5 Flash. Built on ConversationalRetrievalChain for instant, precise document analysis (PDF, CSV, MD, TXT) without agentic overhead.

CHEM•VIZ — Chemical Equipment Parameter Visualizer | Hybrid Web + Desktop app for CSV-based scientific data analysis with interactive charts & PDF reports. Built for FOSSEE

An automation script for analyzing and processing CSV data, designed to identify and categorize errors by aggregators, and calculate totals, including a grand total. Developed to streamline data analysis at Infozillion Teletech BD Ltd.

AI-powered data analysis dashboard built with Streamlit for CSV exploration, visualization, and insights.

🔍 Titanic EDA: odkrywanie wzorców przeżywalności przez analizę danych. Profesjonalny projekt z wizualizacjami i insights

🎮 Match-3 Level Analyzer – Analyze match-3 game levels with Greedy Solver simulation, CSV export & interactive charts.

Multi-environment CSV data analysis orchestrator that resolves dependency conflicts between profiling engines through isolated conda environments while providing a unified interface.

Python-based tool for analyzing student enrollment trends, seat availability, and section efficiency across multiple campuses.