        1. Roles & Responsibilities: 0/10  
        2. Years of Experience: 2/10  
        3. Education Qualification: 8/10  
        4. Skills/Knowledge: 2/10  
        5. Domain/Industry: 2/10  
        6. Key Competencies: 2/10  
        7. Certifications: 4/10  

<h5><b>Overall Summary</b></h5>
<ol>
  <li>The resume does not demonstrate alignment with the specified roles and responsibilities. There is no mention of designing, developing, or maintaining data pipelines, data cleaning, transformation, or visualization tasks, nor collaboration with cross-functional teams. The projects and internships listed are unrelated to data engineering tasks.</li>
  <li>The candidate has 0-1 years of experience, which aligns with the requirement. However, the experience is not relevant to data engineering or related fields, leading to a low score.</li>
  <li>The candidate holds a Bachelor of Engineering degree, which meets the educational qualification requirement. This is a strong point in the resume.</li>
  <li>The resume lacks evidence of proficiency in the required skills such as Python, MySQL, Power BI, or Excel. The listed skills and projects do not indicate familiarity with these tools or technologies.</li>
  <li>The domain knowledge in Information Technology or Data Engineering is not evident. The internships and projects are unrelated to the required domain, leading to a low score.</li>
  <li>The resume does not provide evidence of key competencies such as problem-solving skills, communication skills, or a proactive attitude towards learning. The listed skills and experiences do not align with the required competencies.</li>
  <li>The certifications listed include Python programming essentials, which is somewhat relevant. However, there is no evidence of certifications in MySQL, Power BI, or Excel, resulting in a moderate score.</li>
</ol>