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
Project overview
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
Approach & tools
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.
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