Job Market Analysis & Forecasting

Advanced analysis of 785K+ job postings from Hugging Face dataset with machine learning forecasting, salary analysis, and Power BI dashboard integration

Python Power BI Machine Learning Time Series
Job Market Analysis Dashboard

Project Overview

Project Scope

Comprehensive analysis of 785,000+ job postings from Hugging Face dataset, implementing machine learning algorithms for trend forecasting, salary prediction, and market insights visualization through interactive Power BI dashboards.

Key Innovation

Combines time series forecasting with geospatial analysis and salary trend prediction, providing actionable insights for job seekers, recruiters, and policy makers through data-driven visualizations.

Impact & Results

  • • Analyzed 785K+ job postings across multiple industries
  • • Built predictive models with 85%+ accuracy for salary trends
  • • Created interactive dashboards for market visualization
  • • Identified key employment patterns and skill demands

Technical Details

Timeline

September 2024 - Individual Project (1 Month)

Core Technologies

  • • Python for data processing & ML
  • • Scikit-learn for predictive modeling
  • • Pandas & NumPy for data manipulation
  • • Power BI for interactive dashboards
  • • Hugging Face dataset integration

Project Type

Data Science & Business Intelligence

Key Features

  • • Time series job trend forecasting
  • • Salary prediction algorithms
  • • Geographic job distribution analysis
  • • Interactive Power BI dashboards

Project Overview

Project Details

  • Timeline: January 2025
  • Type: Business Intelligence Project
  • Duration: 1 Month
  • Scope: Multi-industry Analysis

Technologies Used

  • Analysis: Python (pandas, numpy, scipy)
  • Visualization: Power BI, matplotlib, seaborn
  • Data Processing: ETL pipelines
  • Reporting: Interactive dashboards

Key Analysis Metrics

Employment Trends Analysis

Comprehensive analysis of hiring trends, job posting patterns, and employment growth across different sectors and time periods.

Salary Distribution Analysis

Detailed examination of compensation patterns, salary ranges, and pay equity across industries, experience levels, and geographic regions.

Skill Demand Patterns

Analysis of in-demand skills, emerging technologies, and competency requirements driving the modern job market.

Geographic Job Distribution

Regional analysis of job opportunities, employment hubs, and geographic variations in hiring patterns and compensation.

Key Market Insights

Industry Growth

Total Job Postings 785,640
Companies Analyzed 139,982
Top Category Data Analyst (196K)

Compensation Trends

Average Salary $123,288
Median Salary $115,000
Second Top Category Data Engineer (186K)

Power BI Dashboard Features

Interactive Visualizations

Dynamic and filterable charts providing deep insights into job market trends and employment patterns.

  • • Job posting trend line charts
  • • Salary distribution histograms
  • • Geographic employment heatmaps
  • • Industry comparison bar charts

Advanced Analytics

Sophisticated analytical features including forecasting models and predictive insights for market planning.

  • • Predictive hiring forecasts
  • • Skill demand projections
  • • Compensation trend analysis
  • • Market opportunity identification

Technical Implementation

Data Pipeline & BI Workflow

1

Data Collection & Integration

Gathered job market data from multiple sources and integrated using Python ETL pipelines.

2

Data Processing & Analysis

Applied statistical analysis and machine learning techniques for trend identification and forecasting.

3

Power BI Integration

Created comprehensive dashboards with interactive visualizations and real-time data connections.

4

Deployment & Monitoring

Deployed automated reporting system with scheduled updates and performance monitoring.

Industry Growth Forecasting

785K+
Job Postings
analyzed from Hugging Face dataset
$123K
Average Salary
across all analyzed positions
6 Months
Forecast Period
ML-powered market predictions

Skills Developed

  • Advanced data analysis and statistical modeling with Python ecosystem
  • Power BI dashboard development and interactive visualization design
  • Labor market analysis and employment trend forecasting techniques
  • Business intelligence reporting and stakeholder communication
  • Data pipeline automation and ETL process optimization