        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 outlined in the job requirements. Their experience in designing SQL queries, creating Power BI dashboards, performing exploratory data analysis, and automating reports aligns well with the expectations of developing and maintaining data pipelines, data cleaning, and visualization tasks. However, there is limited evidence of documentation of workflows and technical specifications.</li>
  <li>The candidate has 0-1 year of relevant experience in data analysis and engineering roles, which meets the job requirement. However, the experience is on the lower end of the spectrum, and some roles appear to be internships rather than full-time positions.</li>
  <li>The educational qualification does not fully align with the requirement of a Bachelor of Engineering (BE) or equivalent in Computer Science or related disciplines. The candidate holds a Bachelor and Master of Science in Statistics, which is somewhat relevant but not an exact match.</li>
  <li>The candidate possesses strong skills in Python, MySQL, Power BI, and Excel, as evidenced by their technical skills and project experience. They demonstrate proficiency in data manipulation (Pandas, NumPy), visualization (Matplotlib, Seaborn), and advanced Excel functions. However, there is no explicit mention of familiarity with Jupyter Notebook or MySQL Workbench.</li>
  <li>The candidate has relevant exposure to the Information Technology and Data Engineering domain through internships and projects. However, their primary experience seems to lean more towards data analysis rather than core data engineering.</li>
  <li>The candidate exhibits key competencies such as problem-solving, communication, attention to detail, and collaboration through their project work and internship roles. They also show a proactive attitude toward learning new tools and technologies, as indicated by their willingness to learn platforms like Snowflake, Redshift, and Tableau.</li>
  <li>While the candidate does not explicitly list certifications, their internship experiences and project work suggest practical exposure to Python, MySQL, Power BI, and Excel. However, the absence of formal certifications in these areas results in a moderate score.</li>
</ol>
```