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

<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 moderate alignment with the core roles and responsibilities. They have experience collaborating with business and technical teams, developing Power BI dashboards, performing data analysis, and using SQL and Python for data manipulation. However, there is limited evidence of REST API integration, advanced SQL optimization, unit testing frameworks, or extensive documentation practices.
  </li>
  <li>
    The years of experience are not clearly quantified. The resume lists multiple internships and a faculty role, but the total duration appears to be less than one year of direct, relevant industry experience, which falls short of the 1-5 years required.
  </li>
  <li>
    The educational qualification is below requirements. The candidate holds a Bachelor of Science and a Master of Science, but not a Bachelor of Engineering (BE) in Computer Science, Information Technology, or a directly related discipline, as explicitly required.
  </li>
  <li>
    The skills and knowledge section shows proficiency in Python, SQL, Power BI, data manipulation with Pandas, and visualization with Matplotlib and Seaborn. However, there is no evidence of REST API integration, advanced SQL (e.g., CTEs, materialized views), unit testing, version control, or cloud platform hands-on experience. Tableau and some cloud skills are listed as "willing to learn," not as current skills.
  </li>
  <li>
    The candidate has experience in the data analytics and IT domain, with internships and projects in analytics and reporting. However, the depth and breadth of industry exposure are limited, and there is no mention of software development or broader IT project experience.
  </li>
  <li>
    Key competencies such as analytical thinking, problem-solving, attention to detail, and communication are demonstrated through project outcomes and leadership roles. However, there is little evidence of stakeholder management, process improvement, documentation, or mentoring.
  </li>
  <li>
    There are no explicit certifications listed that align with the required technical skills (e.g., Python, Power BI, SQL, cloud platforms, or data visualization tools). The candidate’s willingness to learn is noted, but this does not substitute for formal certification or demonstrated expertise.
  </li>
</ol>