Time series forecasting of telecom revenue using Auto-ARIMA and walk-forward validation.

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

Forecasted dengue incidence in Iloilo using SARIMA, identifying multi‑year outbreak cycles for public health planning

RBI-style macroeconomic inflation forecasting system (CPI + WPI) using SARIMA, Auto-ARIMA, and policy insights.

Advanced network traffic forecasting framework using SARIMA time series models on CESNET-TimeSeries-2023-2024 dataset. Includes automated retraining, comprehensive evaluation metrics (RMSE, SMAPE, R²), and production-ready HPC batch processing scripts.

A sales forecasting project using SARIMA, CatBoost, and XGBoost models to predict daily revenue for Rossmann retail stores, comparing traditional time-series and modern machine learning approaches.

Interpretable time-series forecasting on the AirPassengers dataset using ARIMA, XGBoost, LIME, and SHAP

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

A complete end-to-end time series forecasting project analyzing Global Superstore sales data with EDA, statistical diagnostics, SARIMA modeling, and actionable business insights.

AI-driven national-scale banknote demand forecasting for the Central Bank of the Republic of Türkiye — 24 ANN & SARIMA models.

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.

This project leverages machine learning to perform time-series forecasting on key financial metrics, including sales (income), expenses, cash flow, and profit.

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.

세종시의 공실률 산출과 향후 추이 예측을 수행하는 프로세스입니다.

🚗 Applied Data Science project analyzing Portuguese road accidents for ANSR. Uses DBSCAN to identify radar locations in Lisbon and SARIMA for national accident forecasting. Developed for the PACD II course at ISCTE.

A comprehensive collection of time series analysis notebooks covering statistical modeling & forecasting.

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.