Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Create Interactive Dashboards with Streamlit and Python Coursera

An app that finds and compares statistically similar college football teams

“An interactive data dashboard built with Streamlit that allows users to upload datasets and explore insights through dynamic visualizations and an intuitive user interface.”

Developed a Streamlit application for analyzing transactions and user data from the Pulse dataset. Explored data insights on states, years, quarters, districts, transaction types, and brands through EDA. Visualized trends and patterns using plots and charts to optimize decision-making in the Fintech industry.

DataMiner is an interactive web application for data mining and machine learning. It helps users upload, clean, transform, and analyze datasets while building predictive models — all through a simple and powerful Streamlit interface.

Interactive Streamlit web app for analyzing NYC Airbnb listings with comprehensive EDA, pricing insights, geographic visualizations, and market trends analysis

A Streamlit app that uses OpenAI's LLM for natural language data analysis. Upload CSV files, ask questions in plain English, and get instant insights. Powered by PandasAI, it's designed for quick, code-free exploration of structured data.

This project analyzes sales, profits, quantity and customer trends using SQL, Tableau providing insights on top-selling products, regional performance, customer segmentation, and order patterns to optimize business strategies.

End-to-end retail analytics project transforming raw transaction data into structured insights, customer segmentation, and machine learning–based Customer Lifetime Value (CLV) predictions, delivered through an interactive Power BI dashboard.

Interactive retail sales analytics dashboard with ML-powered forecasting, advanced data visualization, and customizable features. Supports custom CSV uploads and includes a sample dataset for immediate exploration

A Streamlit app for soccer data analysis with interactive visualizations, file management, and PDF report generation

Build a CLV analytics pipeline for retail data, from SQL modeling to machine learning, to predict customer lifetime value and support BI decisions

Interactive dashboard comparing ARIMA, Prophet, LSTM, and Temporal Fusion Transformer (TFT) on stock time-series data. Includes uncertainty intervals and RMSE/MAPE metrics. Built with Streamlit, PyTorch, and Prophet to explore where classical models excel and where deep learning adds value.

Interactive sales dashboard built with Dash and Plotly for data exploration and visualization.

Aplicativo Streamlit para análise dos 100 livros mais vendidos na Amazon, apresentando métricas essenciais (preço, gênero, avaliação, ano) e avaliações de usuários. Facilita insights estratégicos para profissionais de marketing e equipes editoriais, suportando decisões baseadas em dados para análise de mercado e planejamento.

📊 Visualize e-commerce data with this interactive dashboard, transforming raw numbers into actionable insights for better business decisions.