📊 Automate time series analysis and forecasting with an interactive AI agent that delivers tailored reports for both technical and business needs.

AI-Powered Sales Forecasting Dashboard (Future Interns ML Task 1) using Python, SARIMA, and Streamlit.

Time series forecasting of Walmart’s weekly sales using SARIMA & Prophet - turning retail chaos into predictable insights for business planning.

Time-series demand forecasting using SARIMA. Includes full pipeline for stationarity analysis, ACF/PACF diagnostics, SARIMA model training, forecasting, and performance evaluation.

An interactive AI agent built with LangChain that automates end-to-end time series analysis and forecasting by collaborating with the user.

Sistema web de análise preditiva de criminalidade para o Rio de Janeiro. Implementa 8 modelos de ML (ARIMA, SARIMA, Prophet, XGBoost, Random Forest, LSTM, Gradient Boosting, Ensemble) com visualizações interativas, mapas coropléticos e análise temporal. Arquitetura POO com Design Patterns, otimizado para Streamlit Cloud.

This project focuses on analyzing historical stock market data and forecasting future stock prices using statistical and deep learning models. It covers the complete workflow — data collection, preprocessing, feature engineering, model training, evaluation, and visualization. The project serves as a beginner-to-intermediate reference.

End-to-end weather mini-suite: fetch, clean, feature, backtest (naive vs SARIMA vs ML), and Streamlit dashboard. Reproducible, fast, no API keys.

Web dashboard for climate forecasting and policy suggestions using SARIMA and historical data.

End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model selection by AIC, evaluation with RMSE and MAPE, and 90-day forecasts with confidence intervals. Reproducible scripts and visualizations for portfolio showcase.

Dashboard de ponta a ponta para análise do mercado de energia brasileiro. Combina modelos de previsão (SARIMA, Prophet), árvore de decisão e uma IA (Gemini) para transformar dados históricos em insights estratégicos e acionáveis.

World temperature analysis and forecasting with ARIMA variants and Prophet.

A configurable Python framework for comparing time series forecasting models (SARIMA, Prophet, RNN, LSTM) with evaluation & visualization.

Time series forecasting: ARIMA/SARIMA, Prophet, LSTM networks and ensemble methods along with automated feature engineering for real-time predictive analytics

Energy consumption time series forecasting with ARIMA, SARIMA, XGBoost, and CNN-LSTM

This project utilizes ARIMA/SARIMA models with macroeconomic adjustments to RE forecast long-term returns and volatilities across various sectors and regions.

A DSS leveraging CPI data provides real-time and predictive insights for MoSPI, NSO, and CSO. Using ARIMA, SARIMA, and LSTM models, it forecasts CPI trends across sectors, supports decision-making, and features Streamlit-based visuals and a feedback loop to improve inflation management and economic stability.

This project is a customizable real estate market forecasting tool with 10 ready-to-use time series SARIMA models of states including New York, California and Texas.

Predict assets like currencies, cryptocurrencies, and stock prices using ML models

Pharmalytics is a sales prediction application for Firstmed Pharmacy using the Prophet model and Streamlit.