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

```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;">
  <li>The candidate demonstrates strong alignment with the roles and responsibilities, showcasing experience in designing data pipelines, performing data cleaning, and creating dashboards using Power BI. However, there is limited evidence of documenting workflows and technical specifications, which slightly reduces the score.</li>
  <li>With 0-1 years of relevant experience in data analysis and engineering roles, the candidate meets the experience requirement. However, the inclusion of unrelated roles (e.g., Academic Centre Head) dilutes the relevance slightly.</li>
  <li>The candidate holds a Master’s and Bachelor’s degree in Science, but neither is directly in Computer Science, IT, or related disciplines, which impacts the education qualification score.</li>
  <li>The candidate possesses strong skills in Python, MySQL, Power BI, and Excel, with demonstrated proficiency in relevant sub-skills such as Pandas, Matplotlib, SQL queries, and dashboard creation. This aligns well with the job requirements.</li>
  <li>Experience in data analysis and engineering projects indicates familiarity with the IT and data engineering domain. However, the absence of direct references to industry-specific knowledge limits the score.</li>
  <li>The candidate exhibits key competencies such as problem-solving, communication, attention to detail, and collaboration, as evidenced by project work and internship experiences. These align well with the job requirements.</li>
  <li>While the candidate has relevant certifications and training (e.g., Power BI and SQL), there is no explicit mention of certifications in Python or Excel, which slightly reduces the score.</li>
</ol>
```