Ment Reezem developed a robust wind speed extrapolation feature for the OpenSTEF/openstef repository, addressing scenarios where windspeed at 100 meters was missing from the dataset. By implementing conditional logic in Python and leveraging Pandas for data manipulation, Ment enabled the system to estimate windspeed_100m values, thereby reducing data gaps and improving the reliability of downstream wind analyses. The work included updating unit tests to validate the new logic and ensure correct handling of missing data. This contribution demonstrated solid data engineering and feature engineering skills, resulting in more maintainable code and enhanced accuracy for wind-related analytical models.