Moyyn is a recruitment tech company that offers AI-powered solutions to streamline the hiring process. Their platform helps businesses and recruiters automate various tasks in recruitment, such as candidate sourcing, screening, and engagement, using artificial intelligence and machine learning. Moyyn’s technology enables faster, more efficient hiring by matching candidates with job openings based on their skills, experience, and qualifications. Additionally, it provides tools to enhance candidate experience and reduce the manual workload for recruiters. They often cater to startups, small and medium-sized enterprises (SMEs), and large companies looking to improve their recruitment workflows and discover the best talent more efficiently.
The Candidate Skill Extraction from CVs project aims to automatically identify and extract relevant skills from candidate CVs using Natural Language Processing (NLP) and machine learning techniques. The extracted skills will be structured and categorized to help Moyyn better match candidates with job opportunities based on their qualifications. This automated process will save time for recruiters by eliminating the need to manually review CVs and identify skills. The system will handle diverse CV formats, identify both technical and soft skills, and deal with various skill representations, such as synonyms and alternative terminologies.
The project will involve preprocessing CVs, extracting relevant skills using NLP techniques like Named Entity Recognition (NER) and keyword extraction, and categorizing these skills into predefined categories (e.g., programming languages, management skills). The extracted skills will be used for candidate-job matching and stored in Moyyn’s database for future use in job recommendations, profile building, and talent acquisition strategies.
Experienced Data Scientist, Product Owner, and PhD graduate from IIM Ahmedabad and has worked 10+ years in various top companies in the world like Amazon, FLIX, Zalando, HCL. Trained more than 1000 students till date.
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