Python Developer for Data Analysis

I am in need of a Python Developer with a strong emphasis on data analysis. The project will involve the following tasks, using Python's NLP libraries to analyze the text's context and semantics. 1. Data Preparation Data Cleaning: Standardize the format of resumes and job postings, removing any irrelevant information or inconsistencies. Data Anonymization: Ensure all personal information is anonymized to maintain confidentiality. Data Labeling (if necessary): Label the data, if required, to facilitate supervised learning approaches. 2. Developing the Algorithms Keyword-Based Algorithm: Extraction: Extract key skills, experiences, and qualifications from resumes and job postings using basic text analysis techniques. Matching: Develop a matching algorithm that compares the extracted keywords from resumes with those in job postings. NLP-Based Algorithm: Advanced Analysis: Use Python's NLP libraries to analyze the text's context and semantics. Feature Engineering: Extract features that capture the deeper meaning and relevance of phrases and terms. Semantic Matching: Implement an algorithm that evaluates the semantic similarity between resumes and job postings, beyond mere keyword matches. 3. Algorithm Testing and Evaluation Test Setup: Create a testing framework to evaluate the algorithms' performance using the 50 resumes and 50 job postings. Evaluation Metrics: Define metrics like accuracy, precision, recall, and F1 score to evaluate the algorithms' performance. Feedback Loop: Refine the algorithms based on the test results, optimizing for the best matching performance. 4. Building the Interface (If Required) Interface Design: If the project scope includes an interface, design a simple, user-friendly web interface where users can upload resumes and job postings and view matches. Integration: Ensure the interface is well-integrated with the backend algorithms, providing a seamless user experience.