Development of Email Classification and Job Alert Strategies

• Day: 2024-10-03
• Time: 00:40 to 01:25
• Project: Business
• Workspace: WP 1: Strategic / Growth & Development
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Email Classification, Automation, Job Alerts, Keywords, AI

Description

Session Goal

The session aimed to develop strategies for email classification and job alert keyword identification, along with practical implementations in Python.

Key Activities

• Email Classification: A strategy was outlined to classify emails using specific keywords and a Python function. The plan includes training AI models and automating workflows based on these classifications.
• Job Alerts: A comprehensive list of keywords for job alerts was created, categorized by job titles, actions, locations, platform terminology, and technical skills. Practical examples were provided to demonstrate keyword identification in job-related content.

Achievements

• Developed a clear framework for email classification using automation and AI.
• Compiled a detailed keyword list for job opportunities, enhancing the ability to identify relevant job alerts.

Pending Tasks

• Implement the outlined Python function for email classification.
• Begin training AI models to automate the email classification workflow.
• Integrate the job alert keywords into a monitoring system for real-time updates.

Evidence

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