Found 109 repositories(showing 30)
Linkedin trending jobs analysis BI project
SatarupaBanik
End-to-end job market analysis using real LinkedIn job postings scraped via Python. Includes web scraping, skill extraction, EDA, Excel-based validation, and a Canva-designed dashboard showcasing hiring trends, in-demand skills, and location-wise insights.
SalaheddineAD
An advanced data analytics pipeline that provides deep insights into LinkedIn's job market trends. Utilizing technologies like Python, Apache Kafka, Spark, and AWS, it offers real-time and batch analysis of job listings, skill demands, and salary predictions, making it a vital tool for job seekers and recruiters.
riwogerald
A comprehensive job market analysis platform that scrapes job postings from major job sites (LinkedIn, Indeed, Glassdoor) and provides real-time insights into the Kenyan job market including salary trends, skill demand, remote work opportunities, and hiring patterns.
pizofreude
An interactive dashboard providing deep insights into career opportunities for data-related roles, utilizing a comprehensive dataset sourced from LinkedIn. Features include analysis of experience levels, salaries, key skills, job locations, and industry trends, aiding job seekers and professionals in exploring and identifying optimal career paths.
anjanicoder
The project analyzed LinkedIn's job market by ethically scraping data using Python (Selenium, Beautiful Soup) and cleaning it with Pandas. It identified job market trends through Power BI and DAX, with insights presented via an interactive dashboard. Collaboration with cross-functional teams ensured a thorough analysis.
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.
No description available
No description available
LoganWarren
An in-depth visual analysis and data storytelling project analyzing LinkedIn job postings. Looking into industry trends, correlations, and job market insights
hurshitagupta
A real-world data analysis project exploring AI & ML job trends in the U.S. using Pandas, Matplotlib, and Seaborn — based on LinkedIn job listings from 2022 to 2024
piyushsureka
The objective of the analysis is to combine and clean LinkedIn job postings and job skills datasets, and prepare the data for further exploration and modeling. This ensures actionable insights into job market trends.
prashantmane572
LinkedIn Job Analytics is a data-driven project that leverages Python, Beautiful Soup, and Selenium to scrape and analyze job information from LinkedIn. It offers insights on industry trends, top job locations, and company analysis. With visualizations and tables, users gain valuable insights for optimizing their job search strategies.
NaijaDataProfessor
Power BI analysis of LinkedIn job postings (Apr–May 2025) revealing top data roles, hiring companies, and weekly trends. Interactive dashboard built with DAX measures and clean data modeling. Ideal for job seekers, analysts, and recruiters
btyre1
Analyze LinkedIn job postings to identify top in-demand skills, highest-paying job titles, and salary trends. Built in Python with Pandas and Matplotlib, designed to be modular and extendable for future analysis or machine learning features.
LakshitaPagaria
An end-to-end analysis of over 8,400 LinkedIn job postings to identify key trends in the global Data Analyst job market. Features data cleaning with Python/Pandas and an interactive dashboard built in Power BI to visualize insights.
YashCh05
India Job Market Analysis End-to-end data project analyzing LinkedIn job postings across India. Includes cleaned datasets, Python EDA, and a multi-page Power BI dashboard revealing insights on job roles, top skills, hiring trends, salaries, and experience levels. Clear structure with visuals and demo video.
abolfazlabouei
LinkedIn allows people to list their skills, and graph analysis can be used to identify the most common skills in a particular industry or job role. This can be useful for identifying trends in the job market and identifying the skills that are in demand.
Salil-Singh-01
The project analyzed LinkedIn's job market by ethically scraping data using Python (Selenium, Beautiful Soup) and cleaning it with Pandas. It identified job market trends through Power BI and DAX, with insights presented via an interactive dashboard. Collaboration with cross-functional teams ensured a thorough analysis.
alexcanc
linkedin_job_trend_analysis
AbhiSinghYadav
No description available
Purianu
No description available
jahnaviaddagarla666
No description available
ShaikRuksana123
linkedin job trend analysis using python and excel
vickyvigneshwar7899-coder
Job trend analysis using LinkedIn data — skills, cities, and roles.
rajat2005
No description available
rohinitulasi123
No description available
Tanisha2109
No description available
Nithiskumar1116
Project 3 || Data Analyst Intern || Elevate Labs
aswetha19
This project analyzes **LinkedIn job postings** for Data Scientist roles to uncover insights into: - Skill demand trends across cities - Skills required for different roles - Job demand recommendations It uses **Python, BeautifulSoup, Pandas, and Seaborn** to scrape, clean, and visualize data.