This tutorial explores how to leverage the power of AI and databases to streamline your job search. Specifically, it demonstrates how to find data science jobs on USAJobs.gov, though the techniques can be applied to other fields and job boards.
Demo Notebook: https://github.com/xbwei/data-analysis-with-generative-ai/blob/main/Collect-Job-Data-with-Generative-AI.ipynb
The process is broken down into the following key steps:
Code Generation with AI:
Since there isn't a dedicated Python package for the USAJobs.gov API, you can use generative AI to create the necessary Python code. The video walks through crafting an effective AI prompt, receiving the generated code, and troubleshooting errors.
Data Collection and Storage
The AI-generated Python code interacts with the USAJobs.gov API, retrieving job postings based on keywords and locations. The collected data is then stored in a MongoDB database.
Quantitative Analysis with MongoDB
MongoDB's power lies in its ability to handle natural language queries. You can ask questions like, "What is the maximum salary?" or "Show the top 10 locations with the most job postings" and get precise answers from your collected data.
Learn more about MongoDB Natural Language Query: Effortlessly Query 2024 Election Tweets Using MongoDB’s AI-Powered Natural Language Query
Qualitative Analysis with AI
The video recommends using a large language model (LLM) like NotebookLM to gain more profound insights into job posting content. By uploading job data to NotebookLM, you can ask questions about standard requirements, recommend jobs based on your qualifications, and even explore specific job postings in detail.
Learn more about NotebookLM: NotebookLM: The AI Notebook That Transforms How You Study
The video emphasizes the following points:
Respecting data policies and terms of service is important. Web scraping is generally discouraged, especially if the platform offers an API.
The iterative nature of working with AI means that it might take several tries to craft a prompt that results in functional code.
The strengths of different analysis tools. While databases are best for quantitative analysis, LLMs excel at extracting insights from qualitative data.
This tutorial offers a powerful strategy for finding your next job by combining AI's efficiency with databases' analytical capabilities.
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