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

<h5><b>Overall Summary</b></h5>
<ol>
  <li>The resume content is poorly structured and lacks clarity, making it difficult to extract relevant information. The candidate does not demonstrate any alignment with the specified roles and responsibilities, such as designing data pipelines, performing data cleaning, or creating visualizations. There is no mention of collaboration with cross-functional teams or problem-solving skills related to data engineering tasks.</li>
  <li>The candidate's experience is not clearly stated in terms of years or relevance to data engineering. The internships mentioned do not align with the required experience in data engineering or related fields.</li>
  <li>The candidate holds a Bachelor of Engineering degree, which partially aligns with the educational qualification requirement. However, the field of study is not explicitly linked to Computer Science, Information Technology, or related disciplines.</li>
  <li>The resume mentions Python certification but lacks evidence of proficiency in required skills like Pandas, Matplotlib, MySQL, Power BI, or Excel. The projects and internships do not demonstrate the application of these skills.</li>
  <li>There is no indication of knowledge or experience in the Information Technology or Data Engineering domain. The projects and internships are unrelated to the specified domain.</li>
  <li>Key competencies such as problem-solving, communication skills, and attention to detail are not evident in the resume. The candidate's description of tasks and achievements does not reflect these competencies.</li>
  <li>The certifications listed (e.g., Python Programming Essentials) are basic and do not demonstrate proficiency in the required tools and technologies. The relevance of other certifications to the job requirements is unclear.</li>
</ol>