INDUSTRY:
DATA
YEAR:
2023
EXPERIENCE:
Regression, KNN, Trees
Data Job Salary Prediction
about.
Data Job Salary Prediction is a modeling project focused on uncovering key drivers of compensation in data-related careers. The project involved cleaning and organizing over 8,000 job postings to create structured categories based on role, experience, location, and work environment. Developed for organizations and professionals seeking salary benchmarks or hiring insights, this model uses multiple regression, decision trees, and K-Nearest Neighbors to predict salary ranges with strong accuracy. The approach highlights the impact of job title, remote flexibility, and geography on compensation. Data Job Salary Prediction offers a scalable, data-driven framework that can support workforce planning, compensation analysis, and career market insights in the rapidly evolving analytics job landscape.
result.
The Data Salary Prediction model received positive feedback for its clarity, practical relevance, and adaptability to real-world use cases. It was used to identify compensation differences across job roles, experience levels, and locations, providing useful benchmarks for job seekers and employers. The model’s outputs were incorporated into dashboards and reporting tools to support salary exploration and hiring strategy. Its ability to translate technical analysis into accessible insights made it a valuable resource for understanding trends in the data job market.
