AI Customized Resume Generator
As a Product Manager, I sought to streamline the process of tailoring resumes for product management job applications. My goal was to create an automated system that could efficiently generate AI customized resumes for job listings, enhancing my job search effectiveness and saving significant time.
Challenges
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Data Extraction: Scraping job listings with specific criteria such as location and recent postings.
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Resume Customization: Adapting a generic resume template to match various job descriptions accurately.
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Document Formatting: Ensuring the output from ChatGPT could be converted into a well-formatted Google Doc.
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Automation Workflow: Integrating multiple tools to create a seamless, automated process.
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Data Management: Updating a Google Sheet with job details and links to the customized resumes efficiently.
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Job Rating: Creating a system to prioritize job postings based on criteria like posting time, salary, and location.
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Solution
To address these challenges, I developed an automation system using Make with the following features:
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Job Scraping: The system scrapes the Google job board daily for product roles matching specific criteria, such as location and postings within the last 24 hours.
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Resume Customization: Leveraging AI, each job description is used to tailor my resume from a predefined template.
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Markdown Format: By outputting ChatGPT’s customized resumes in a markdown (ATX) format, the process successfully creates well-formatted Google Docs.
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Data Integration: The system saves the customized resumes on Google Drive, names the files based on job title and company, and updates a Google Sheet with comprehensive job details including job title, salary, location, posting date, application link, and resume link.
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Job Rating: Developed a rating score based on criteria such as posting time, salary, and location. This score helps prioritize higher-rated job postings for a greater chance of securing interviews.
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My Role
As the Product Manager, I:
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Identified Requirements: Defined the criteria for job listings and customization needs for resumes.
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Designed the Workflow: Mapped out the entire automation process and selected appropriate tools.
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Implemented the System: Configured Make.com for job scraping, AI-driven resume customization, and Google Drive and Sheets integration.
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Troubleshot Challenges: Resolved issues related to document formatting by using markdown, ensuring the output was compatible with Google Docs.
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Developed Job Rating System: Created a rating algorithm to score job postings based on key criteria, enhancing focus on higher-priority opportunities.
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Monitored Performance: Regularly reviewed the system’s output to ensure accuracy and efficiency, making adjustments as needed.
Results
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Efficiency: The automated system generates approximately 50 customized resumes per day.
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Accuracy: By matching resumes closely to job descriptions, the likelihood of passing initial screening stages is increased.
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Time Savings: Significant reduction in manual effort, allowing me to focus on other aspects of job searching and career development.
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Data Organization: Comprehensive job details are organized and easily accessible in a Google Sheet, facilitating efficient job tracking and application management.
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Prioritization: The rating system ensures focus on higher-rated job postings, increasing the chances of securing interviews.
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This project demonstrates my ability to leverage automation and AI to solve complex problems, optimize processes, and deliver tangible results, reflecting the core competencies of a Product Manager.
