How to check if the words in my 'text' match those in a 'CSV' file?

See more:

Python

parsing

NLP

I'm building a resume parser that can extract 'skills' from a resume.

I'm extracting the resume skills by comparing the resume text with a dataset (a CSV file that contains about 38k technical skills). If there's a match, the matched words should be returned as a list.

What I have tried:

#Loading the dataset & viewing it's contents

import pandas as pd

skills_data=pd.read_csv('/content/drive/My Drive/skills.csv')
df=skills_data.copy()

df.head()

Output-->

	Skill
0	supply chain engineering\n
1	bullet\n
2	commutations\n
3	pay equity\n
4	student retention\n

#Converting CSV values to list & checking the values

skill_list=[df.values.tolist()]
skill_list

Output-->

[[['supply chain engineering\n'],
  ['bullet\n'],
  ['commutations\n'],
  ['pay equity\n'],
  ['student retention\n'],
  ['pulsar'],
  ['hevacomp\n'],
  ['travel insurance\n'],
  ['payback\n'],
  ['soaps\n'],
  ['erdf\n'],
  ['3d simulation\n'],
  ['中級\n'],
  ['server side\n'],
  ['filemaker server\n']]]

#Matching the Skills

y=text.split()
for sk in skill_list:
                 for txt in y:  
                    if sk==txt:
                          print (txt)

Output-->
Nothing



There are no errors in my code, but no output either. How do I match the words & how do I ensure that they are not case sensitive?