Data Science Jobs Trend
Analysis & Prediction with Decision Trees & KNN Clustering

Conducted an analysis of data science job listings from job baords
to predict role categories and identify trends in the industry.
This project aimed to assist hiring managers/stakeholders in
efficiently categorizing job roles and understanding the
key attributes associated with various positions

  • Python Data Preprocessing & Analysis
  • Libraries : scikit-learn,pandas,matplotlib,seaborn,numpy
  • Decision Trees
  • KNN Clustering

Project Impact:The project improved the efficiency and accuracy of hiring processes by predicting job role categories with a 70% accuracy rate, enabling better candidate-job matches and faster recruitment.