Machine Learning for Job Market Analytics -- 2
Employer not named by the sourceRemote
Frontier is not the employer and does not collect applications.
About this role
Python, Machine Learning (ML), Data Mining, Big Data Sales, PostgreSQL, Data Analysis, ETL, FastAPI · Machine Learning Pipeline – Job Market Analytics & Salary Prediction
Created an end-to-end machine learning pipeline for looking at job market data and guessing what salaries might be.
Key Features:
Worked on. Fixed 10,000 or more job-market records using Python, Pandas and NumPy.
Made an automated ETL/data preprocessing pipeline to take care of data cleaning, changing data making it all the same and checking if it is all the same.
Added a PostgreSQL (Neon) database to keep data in a good way and help with machine learning work.
Did analysis of the data. Looked at the features to find what helps predict salary.
Trained a Random Forest regression model to guess salaries.
Found that employee_residence is one of the things to use for guessing salaries.
Built a FastAPI backend with places to get analytics and predictions.
Linked the machine learning backend to a React frontend to show information and results in a way.
Technologies: Python, Pandas, NumPy, Scikit-learn, Random Forest, PostgreSQL, Neon, FastAPI, React, ETL.
This project shows experience, in data preprocessing, machine learning, database integration, API development and full machine learning deploy