A Flask and PostgreSQL application for exploring job listings and understanding job-market skill demand.
The Problem
Job seekers often view individual job listings without a clear picture of which skills appear most frequently or how their own skills compare with market requirements.
The Solution
A searchable analytics portal that combines job exploration with skill-demand analysis.
Key Features
Job explorer
Search and filtering
PostgreSQL-backed job database
Analytics dashboard
Skill frequency analysis
Skill analyzer
Candidate skill matching
Missing-skill identification
Data visualizations
Technology / Architecture
Python
Flask
PostgreSQL
SQLAlchemy
Bootstrap
Data Analytics
1
Flask web application
2
SQLAlchemy data layer
3
PostgreSQL job database
4
Analytics and skill analysis views
5
Interactive filtering interface
Challenges & Learnings
Challenges
Making job listing exploration and aggregate skill analysis feel connected in one workflow.
Keeping filters and analytics readable when users move between search and dashboard views.
Learnings
Skill demand analysis is stronger when paired with searchable source listings.
A relational schema helps keep job metadata and skill signals organized for analytics.
