Laboratory "retrieving Skills for Stem Job Description and Matching with Cvs"

A.Y. 2023/2024
3
Max ECTS
20
Overall hours
SSD
INF/01 SECS-S/01
Language
English
Learning objectives
Partner: Open Search Group

This Lab is provided within the Data Science for Economics (DSE) degree program.
A small number of students can be admitted due to logistics constraints.
The students (either DSE or non-DSE) must apply for admission. Candidates will be selected by the involved institutions/companies according to CV and motivations.
For application, students must respond to a call that is posted on this website: https://dse.cdl.unimi.it/en/courses/laboratories
The call is typically published a few weeks before the Lab starts.

● Develop text analysis skills for the extraction of skills from job descriptions and CVs
● Develop matching skills between job description and CV skills
● Develop skills in analysing the profiles inserted in the company to determine the winning characteristics of a STEM profile for the Italian market
● Become familiar with the extraction and analysis of data from a structured corporate CRM
● Become familiar with data cleansing
● Explore alternative approaches and being able to use of external data through the integration of public databases
● Become competent in analysing and extracting data using python and use data visualisation tools (QLIK)
Expected learning outcomes
● NLP skills, in particular skills extraction from Job Ads and CVs
● Creation of an analysis and matching model through the analysis of the database of candidates inserted in the company
● Data Cleaning
● Data Exploration: use and integration of external databases
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

Lesson period
Second trimester
INF/01 - INFORMATICS
SECS-S/01 - STATISTICS
Laboratory activity: 20 hours