Do you also wrap your data processing functions in classes?

I work in a team of data scientists on time series forecasting pipelines, and I have the feeling that my colleagues overuse OOP paradigms. Let us say we have two dataframes, and we have a function which calculates some deltas between them:

def calculate_delta(df1: pd.DataFrame, df2: pd.DataFrame) -> pd.DataFrame:
delta = # some calculations
return delta

delta = calculate_delta(df1, df2)

What my coleagues usually do with this, that they wrap this function in a class, something like:

class DeltaCalculatorProcessor:
def …

colleagues data dataframe dataframes data processing datascience data scientists delta forecasting function functions oop pipelines processing scientists series team them time series time series forecasting work