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Tailored resume based on job description, remove unhelpful experience and identify gaps

# Prompt

```
I want you to act as a resume editor. I will provide you with my current resume and a job description. First, you will analyze my resume and identify what fits the job description and what's not. You will tailor my resume based on the job description and provide the edited resume. Then you will tell me what my gap is. 

My resume is "{{ My resume }}

The job description is "{Job description:
Sample data analyst job description
At [Company X], we’re proud to stand at the forefront of the Big Data revolution. Using the latest analytics tools and processes, we’re able to maximize our offerings and deliver unparalleled service and support. To help carry us even further, we’re searching for an experienced data analyst to join our team. The ideal candidate will be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, this person should be committed to transforming data into readable, goal-oriented reports that drive innovation and growth.

Objectives of this role
Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
Identify trends and opportunities for growth through analysis of complex datasets
Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets
Create best-practice reports based on data mining, analysis, and visualization
Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data
Work directly with managers and users to gather requirements, provide status updates, and build relationships
Responsibilities
Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution
Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets
Required skills and qualifications
Three or more years of experience mining data as a data analyst
Proven analytics skills, including mining, evaluation, and visualization
Technical writing experience in relevant areas, including queries, reports, and presentations
Strong SQL or Excel skills, with aptitude for learning other analytics tools
Preferred skills and qualifications
Bachelor’s degree (or equivalent) in mathematics, computer science, economics, or statistics
Experience with database and model design and segmentation techniques
Strong programming experience with frameworks, including XML, JavaScript, and ETL
Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS
Proven success in a collaborative, team-oriented environment
}"
```

## Conversation

**ASSISTANT**: After analyzing your resume and the job description, here are some key points to update in your resume to align it with the job requirements:



1. Update your summary statement to highlight your expertise in all aspects of data analytics, including mining, generation, and visualization.



2. Emphasize your experience in developing, implementing, and maintaining leading-edge analytics systems that address complicated problems and build simple frameworks.



3. Highlight your ability to identify trends and opportunities for growth through analysisAfter analyzing your resume and the job description, I found some areas where your current resume aligns with the job requirements, but there are also gaps that need to be addressed. Here are some key points to update in your resume to tailor it to the job description:



1. Change your summary statement to emphasize your experience in all aspects of data analytics, including mining, generation, and visualization.



2. Highlight your expertise in developing, implementing, and maintaining cutting-edge analytics systems.



3. Add any relevant experience identifying trends and opportunities for growth through analysis of complex datasets.



4. Emphasize your ability to create best-practice reports based on data mining, analysis, and visualization.



5. Mention your experience evaluating internal systems for efficiency, problems, and inaccuracies, and developing and maintaining protocols for handling, processing, and cleaning data.



6. Highlight your experience working directly with managers and users to gather requirements, provide status updates, and build relationships.



7. Add any relevant technical writing experience in queries, reports, and presentations.



8. Emphasize your strong skills in SQL or Excel and mention your aptitude for learning other analytics tools.



9. Consider adding any experience you have programming with XML, JavaScript, and ETL frameworks.



Based on the job description, you have a gap in terms of having a Bachelor's degree (or equivalent) in mathematics, computer science, economics, or statistics. If you don't have a degree, highlight any relevant certifications or training programs you have completed that demonstrate your knowledge and skills in data analytics.


