```
1. Roles & Responsibilities: 0/10  
2. Years of Experience: 0/10  
3. Education Qualification: 2/10  
4. Skills/Knowledge: 0/10  
5. Domain/Industry: 0/10  
6. Key Competencies: 0/10  
7. Certifications: 0/10  
```

```html
<h5 style="font-family: Roboto; font-size: 0.88rem; font-weight: bold;">Overall Summary</h5>
<ol style="font-family: Roboto; font-size: 0.88rem; line-height: 1.5;">
  <li>The resume content does not align with the job requirements for a data engineering role. The candidate's background is primarily in instrumentation engineering and maintenance, which is unrelated to the data engineering domain.</li>
  <li>The candidate has no relevant experience (0 to 1 year) in data engineering or related fields. The work experience mentioned is in maintenance engineering, which does not overlap with the required responsibilities or skills.</li>
  <li>The educational qualification is a Bachelor of Engineering in Instrumentation, which is somewhat related to technical fields but not directly aligned with Computer Science, Information Technology, or related disciplines. This results in a minimal score for education.</li>
  <li>The resume lacks any mention of the primary skills required for the role, such as Python, MySQL, Power BI, or Excel. There is no evidence of proficiency in data manipulation, visualization, or database management.</li>
  <li>The candidate does not demonstrate any knowledge of the Information Technology or Data Engineering domain. The focus is entirely on instrumentation and maintenance engineering.</li>
  <li>Key competencies such as problem-solving, communication skills, and a proactive attitude are not substantiated in the resume. The listed strengths are generic and not tailored to the job requirements.</li>
  <li>No certifications relevant to the required skills (Python, MySQL, Power BI, Excel) are mentioned in the resume. The only certification listed is in control instrumentation, which is unrelated to the job requirements.</li>
</ol>
```