        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  

<h5><b>Overall Summary</b></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 and maintaining data pipelines, performing data cleaning, and creating dashboards using Power BI. However, there is limited evidence of collaboration with cross-functional teams and documentation of workflows, which slightly reduces the score.</li>
    <li>While the candidate has relevant internship experience in data analysis and Power BI, the total duration of experience appears to be less than a year, which aligns with the requirement but does not exceed expectations.</li>
    <li>The candidate holds a Master’s and Bachelor’s degree in Science (Statistics), which is not directly equivalent to a Bachelor of Engineering in Computer Science or IT. This results in a lower score for education qualification.</li>
    <li>The candidate possesses most of the required skills, including Python, Pandas, Matplotlib, MySQL, Power BI, and Excel. However, there is no explicit mention of familiarity with Jupyter Notebook or MySQL Workbench, which slightly impacts the score.</li>
    <li>The resume reflects knowledge of data engineering and IT through internships and projects. However, the candidate's primary focus appears to be on data analysis rather than core data engineering, leading to a moderate score for domain/industry knowledge.</li>
    <li>The candidate demonstrates strong problem-solving skills, attention to detail, and a proactive learning attitude through their projects and internships. Communication skills and collaboration are implied but not explicitly highlighted, which slightly reduces the score.</li>
    <li>Certifications are not explicitly mentioned, but the candidate's internships and projects suggest practical exposure to tools like Power BI, Python, and SQL. The absence of formal certifications results in a moderate score.</li>
</ol>