Adjusting student GPAs based on attendance levels in Python

Suppose you're looking to offer a small boost to the grades of Engineering students based on attendance. If students attended class at least 90% of the time, then you'd like to apply a 5% boost to their grade (going over 100 is fine). Using the table below, write code that will apply the desired change to the student grades.

Below is code to generate the table + the raw table itself:

#code to generate example dataframe
import pandas as pd
raw_data = {'age': [20, 19, 22, 21, 21, 22, 23, 23], 
        'major': ['Engineering', 'Business', 'Engineering', 'Engineering', 'Business', 'Business', 'Engineering', 'Engineering'], 
        'grade': [88, 95, 92, 70, 68, 92, 75, 85], 
        'perc_attendance': [88,95,95,92,78,87,91,95],        
        'student_id': [1,2,3,4,5,6,7,8]}
df = pd.DataFrame(raw_data, columns = ['student_id', 'age', 'major', 'grade', 'perc_attendance'])
df

student_id	age	major	grade	perc_attendance
1	20	Engineering	88	88
2	19	Business	95	95
3	22	Engineering	92	95
4	21	Engineering	70	92
5	21	Business	68	78
6	22	Business	92	87
7	23	Engineering	75	91
8	23	Engineering	85	95