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

The statistical analyst in your AI chat — bring data and a question, own a citable, re-runnable analysis. Four depth tiers, from instant Snapshot to full Deck study. Works in Claude, Cursor, and any MCP client.

An agentic AI system for conversational data analysis. Upload any CSV, query your data in natural language, and receive instant insights, auto-generated visualizations, and executable Python code — powered by LangChain, OpenAI/Gemini LLMs, Streamlit, and FastAPI.

Upload a CSV → get a full EDA report with LLM-generated executive summary, charts, and downloadable PDF/Word exports. Built with Streamlit, Pandas, and OpenAI GPT-4. Handles 50K+ row datasets, cuts manual EDA time by 60%. Includes a sample output 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.

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.

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.

AI-powered Streamlit app that profiles CSV datasets, cleans data, trains baseline ML models, generates charts, and writes analysis reports.

Adaptive analytics cockpit for CSV-driven business decision workflows.

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

AI-powered full-stack data analysis platform that cleans CSV datasets, performs EDA, generates charts, creates AI business reports, and supports dataset chat using FastAPI, React, Pandas, and Gemini AI.

An AI data analyst agent that turns raw CSVs into structured business insight reports — pandas handles all numeric analysis, Gemini handles only language, with guardrails and a 7-check evaluator to keep findings grounded

A Flask based Twitter analytics dashboard for sentiment analytics ,bot detection ,interactive visualization, and PDF report generation

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

Full-stack data analytics platform with FastAPI, PostgreSQL, SQLAlchemy, Pandas, Plotly and Streamlit.

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 no-code forecasting platform that transforms CSV datasets into insights, model comparisons, and predictive analytics through a guided workflow.