Nikhil Narayane, Yuanyang Liu, Chuanren Liu. (2024.) Show Me the Money: A Text Driven Job Salary Prediction. Working Paper; Dissertation Work.
Nikhil Narayane, Yuanyang Liu, Chuanren Liu. (2024.) IT Skill Valuation, Price of Skill and Its Complementarity. Working Paper; Dissertation Work.
I specialize in applying machine learning, natural language processing (NLP), and deep learning techniques using advanced programming languages, particularly Python, to analyze and solve real-world problems in the labor market. My research combines analytical skills with cutting-edge data science methods, focusing on the following.
Developing Python-based machine learning models to predict salary trends, identify key job skills, and understand the dynamics of job demand by processing large datasets, including unstructured text data from job descriptions.
Leveraging Python libraries such as spaCy, NLTK, regex, gensim, BERT, and transformers to extract insights from job postings and resumes, enabling better understanding of how skills, qualifications, and experience influence salary outcomes.
Building robust predictive models in Python using AutoML, XGBoost, incorporating both structured and unstructured data, to estimate salary distributions and assess the monetary value of skills across industries.