Introduction
In today’s world, people migrate from one place to the other for growth and development. The most common purpose of migration is a money hike. According to statistics, not every person who migrates has profited. When people leave their homeland they feel stuck, lonely, and depressed, and face problems such as lack of opportunities, coping with a different common language, homesickness, lack of family support, and cultural differences in the migrated country. All these problems lead to underperformance in their career and ultimately not completing their goal of a money hike.
Dataset link: https://datacatalog.worldbank.org/search/dataset/0038044/Talent-Migration---LinkedIn-Data-.
The dataset is extracted from LinkedIn's Economic Graph Initiative and World Bank Group, and is available at country, country-industry and country skill level based migrations. The migration in the dataset is recorded when a LinkedIn member changes location on their LinkedIn profile. All three datasets Country migration, industry migration and skill migration are extracted from the LinkedIn profiles who have migrated based on country, industry and skills. All three datasets will be used for extensive exploratory data analysis. The analysis and predictions from the project will help people who plan to migrate to a country and also companies in the target country to analyse people coming from the base country. The analysis can also be used to examine the economy of countries. Keeping this in mind, the project aims to analyse the netflow of people in the base country and target country for five consecutive years from 2015 to 2019 and predict the netflow for the year 2023.