Time series forecasting machine learning model

I am looking for a skilled data scientist to develop a time series forecasting machine learning model. The project involves forecasting for the next 2 periods with an achievement of MAE of less than 50. Skills and Experience: - Strong knowledge and experience in developing machine learning models for time series forecasting - Proficiency in handling and analyzing historical sales data - Ability to understand and interpret complex patterns and trends in data - Expertise in selecting and implementing appropriate machine learning algorithms - Familiarity with techniques for optimizing and fine-tuning models - I use Python to code, i would appreciate it if the model is coded in python I am not really interested in the candidate's track record, i just want a reliable forecasting model that can predict the 2 periods with an MAE of less than 50. Its up to you on how you split your percentage training and testing data, whether its 80%-20%, 90%-10%, 95%-5%, etc. Data Description. - There are 550 data points. - There pattern is not see to easy, hence it requires a good machine learning model/any model applicable to learn the hidden pattern. - The 550 data points are the historical/previous moves made by an chess game, the chess can make a total of 376 992 non-repetitive moves. Each move is assigned a value between 1 and 376 992, each data point represent the assigned value of the move made. - I have attached the image of the 550 data points as well the excel file with the 550 data points. Good luck!!! :)