Found 42 repositories(showing 30)
snehayadav23
This project aims to implement a detector of similar job descriptions using big data analysis techniques on the LinkedIn Jobs & Skills dataset. By leveraging PySpark, we will uncover insights and patterns in the job summary data to help employers and job seekers better understand the job market.
Mavengence
Jobs have been scraped from linkedin to perform a data analysis to optimize the CV and cover letter
IrvanDimetrio
Scraping LinkedIn Data-Related job postings and Analysing job market trends in Indonesia.
Linkedin trending jobs analysis BI project
MalayBhunia
📊 Exploratory Data Analysis (EDA) of LinkedIn job postings in India. Features insights on in-demand roles, experience levels, and hiring sectors using Python, Pandas, and Seaborn.
trivedihoney
Scrape Data Analysis Jobs from Naukri.com and Linkedin.com
This project analyzes a dataset of entry-level data analyst job postings in Europe collected from LinkedIn. The analysis identifies top hiring companies, countries with the most opportunities, and the most common job titles for data analysts. The results are visualized using bar charts for easy interpretation.
This project seeks to analyse the data analyst job listings found on LinkedIn. The aim of the jobs analysis is to find hidden insights about data analyst jobs such as what skills are most in demand by employers.
lunabaalbaki
Selecting the right career is one of the most important decisions students have to make. With the increase in the number of career paths and opportunities, making this decision have become quite difficult. The purpose of this project is to do a job market analysis in Lebanon to provide information about different job trends in Lebanon up-to-date to Lebanese students, so they could form better career choices. Since many Lebanese students don’t know which major to choose and which job position is highly demanded in Lebanon, this project guides them in their career choice. The problem in Lebanon is that there’s no available data about the job market in Lebanon. Thus, I scrapped different websites to get information about job market trends in Lebanon and information about job professions as well. The design and methodology and methodology of this project is to scrape data about all job positions in Lebanon on LinkedIn, then clean and preprocess the data, turn it into a csv file then present it as visual graphs on a dashboard on Streamlit WebApp. Next, scrape data about job professions from O*net website to get information about different job professions. Then, clean and preprocess the data and present it as visual graphs on Streamlit WebApp. The major findings of this project were that the most demanded job position in Lebanon are manager and software engineer, the top hiring company is Toptal and Agoda, the city with the most job openings is Beirut. This project doesn’t only benefit Lebanese students and help them choose the right career for them, but also, it helps Lebanon’s economy. When worker’s skills and qualifications fit demanded jobs in the country then that increases productivity and boosts economic growth.
AkBoy141
No description available
abhishekkumar62000
No description available
No description available
deepaknigam2004
This repository contains a comprehensive analysis of jobs employment data for different industries and company. The primary focus is top assess the revisions in filled jobs figures by linkedin. Linkedin jobs data analysis and visualization using Power BI
ManiShankaryalapalle
No description available
ahtisham-maliik
No description available
Airam-DA
Insights from LinkedIn data jobs to track trends and skills.
Sangeeth-reddy-08
No description available
krishankm28
No description available
JamesOhJins
Preprocess, analyze, visualize linkedIn job postings
akshatashirwale
No description available
princeandy-b
Data analysis project exploring LinkedIn job listings for data analyst roles.
nanier216
No description available
admin-sunil
Data Analysis on LinkedIN Jobs Postings
terka-creator
Analysis of data jobs posted on linkedin.
No description available
saihiel
Data Analysis of Scrapped Data Related Jobs from LinkedIn
MahradMozafari
Market-basket analysis is a popular technique used to identify relationships between items purchased together. In this project, we will apply this technique to the LinkedIn Jobs & Skills dataset, focusing on the job skills listed in various job postings.
praveen2153
No description available
Data Analysis Project on Entry-Level LinkedIn Jobs
No description available