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.

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

Monitoring established in-land human activities using pollution satellite data. Copernicus Sentinel-5P (TROPOMI) is the satellite data imagery source for remote pollution sensing on which the entire project is based. The image processing phase has taken a significant amount of effort since it was crucial to extract useful and correct information…

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

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

A Simple Python Implementation of an API that provides services like Classification,Regression and Forecasting on the input data set

World temperature analysis and forecasting with ARIMA variants and Prophet.

Forecasting the energy consumption of Ecole Polytechnique's start-up incubator building.

Repository for predicitons of timeseries data with NN.

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

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

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

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.

This is a price uni and multivariate forecasting of collectible assets indices using ARIMA models

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.

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

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

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

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

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