📅 2024-12-06 — Session: Enhanced Job Analyzer and AI Model Evaluation
🕒 19:20–20:15
🏷️ Labels: Job Analysis, Ai Model, Google Sheets, Python, Data Processing
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The primary objective of this session was to refine user prompts for job analysis in the data science field and to evaluate AI model performance for processing job data. Additionally, the session aimed to integrate database functionalities with Google Sheets using a Python script.
Key Activities
- Improved the user message for the Job Analyzer Agent, focusing on user background, skills, and career goals.
- Revised the user prompt for job posting analysis, incorporating user preferences and evaluation criteria.
- Developed a tiered model upgrade recommendation strategy for AI parsing, considering budget constraints and performance needs.
- Evaluated model performance for job data processing, identifying strengths and weaknesses, and suggesting enhancement strategies.
- Assessed job record updates to identify workflow improvements.
- Executed the integration of a database with Google Sheets using a Python script, providing setup instructions and code explanations.
- Organized the Google Sheets export script within the project directory to ensure maintainability and reusability.
Achievements
- Successfully refined user prompts for job analysis and job posting evaluation.
- Proposed a strategic approach for AI model upgrades.
- Identified key areas for improvement in model performance and job data processing workflows.
- Achieved seamless integration of database functionalities with Google Sheets.
Pending Tasks
- Further refine the AI model upgrade strategy based on ongoing performance evaluations.
- Continue enhancing the job processing workflow based on identified opportunities.