I have performed a time series analysis of the stock prices of Tata Consultancy Services from 2002 to 2021. I have started by visualising the data. And then I fitted models like an autoregressive integrated moving average (ARIMA) model, Vector autoregression (VAR), SARIMA (seasonal ARIMA) model, UCM, and Dynamic Factor models.

Tetuan City Electricity Consumption High-Frequency Time-Series Forecasting Using Arima, UCM, Machine Learning (Random Forest and k-NN), and Deep Learning (GRU Recurrent Neural Network) Models.

Time Series Analysis and Forecasting (using ARIMA, UCM and Random Forest models) of a restaurant's revenue during the first lockdown of the COVID-19 pandemic in Italy, to estimate the loss incurred.

High-frequency time series forecast of electricity consumptions using ARIMA, UCM and ML techniques