Challenge background
Among the thousands of Nigerians graduating every year, only a few get their dream jobs or graduate training jobs, leaving others with no choice but to start building up a career through certifications and professional courses. In the end, many Nigerians are underemployed or unemployed.
The problem
The unemployment rate in Nigeria increased to 33.30 percent in the fourth quarter of 2020 from 27.10 percent in the second quarter of 2020, while the underemployed rate is 28.7% giving a total percentage rate of 61.9% of Nigerians that are unemployed or underemployed.
Goal of the project
- To understand the reason for unemployment among graduate.
- To provide a possible solution.
- To create a model to merge graduates with job opportunities.
Project timeline
- 1
Week 1
– Understanding the problem – Breaking down the task into units – Choosing task leaders for each unit – Fixing workshop training days and time
- 2
Week 2
– Text Analysis using NLP – Web scraping – Getting graduate data from Government and NGOs – Data Wrangling
- 3
Week 3
– Web scraping – Getting the data of registered companies and international companies from the Government – Data Wrangling
- 4
Week 4
– Exploratory Data Analysis (EDA) – Data visualization – Feature engineering
- 5
Week 5
– Machine learning model – Recommender System
What you'll learn
1. Data collection
2. Web scraping
3. Machine learning model
4. Natural Language Processing
5. Recommender system