Mouneshgouda / Data-Analysis-of-Job-Portal-in-machine-learning-in-Python

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Data-Analysis-of-Job-Portal-in-machine-learning-in-Python

• Created feature extractor pipeline that automatically extracts features from the Resume we used Resume parser. Applied machine learning algorithms on extracted features to classify student status into different classes. • Collaborated with back-end, front-end, and DevOps engineers to test and deployed model into large-scale production. • Developed Flask web interfaces in local machines

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Language:Java 92.9%Language:JavaScript 4.1%Language:CSS 2.9%