I will help create forecasts based on time series data

Welcome to my gig for time series analysis and forecasting!

Time series is a set of data points collected for the same entities over an extended period of time. Eg. Daily temperature recordings for a city for a 5 year period.

Time series data tends to have certain characteristics like trend, seasonality etc. Understanding the behavior of the data in terms of these characteristics is imperative for time series analysis.

Forecasts prepared using time series methods can be accurate and can factor in a variety of real-world phenomena & their impact on the way the series varies over time.

I follow a structured process to develop forecasts based on time series data:

1. Data preparation: Organize and clean historic data to bring it to a suitable format for analysis
2. Exploratory data analysis: Comprehensive analysis of the dataset to identify underlying trends, seasonality and other latent patterns
3. Model selection: (ARIMA, ETS, LSTM, HW)
4. Model development: Develop a robust model to capture complexities in the data
5. Forecast generation: Create accurate and reliable forecasts to support decision making
6. Model evaluation: Evaluate model performance through accuracy metrics
7. Visualization