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

<h5><b>Overall Summary</b></h5>
<ol style="font-family:Roboto; font-size:0.88rem; word-wrap:break-word;">
    <li>The candidate demonstrates partial alignment with the roles and responsibilities. While they have experience in data cleaning, transformation, visualization, and collaboration with stakeholders, the resume lacks explicit mention of designing and maintaining data pipelines, writing reusable and modular code, and documenting workflows comprehensively.</li>
    <li>The candidate has 0-1 year of relevant experience, as evidenced by their internship and project work in data science, which aligns well with the job requirement for years of experience.</li>
    <li>The educational qualification does not fully meet the requirement. The candidate holds a B.Tech in Mechanical Engineering, which is not directly related to Computer Science, Information Technology, or related disciplines.</li>
    <li>The skills section reflects proficiency in Python, MySQL, Power BI, and Excel, but the resume lacks detailed evidence of advanced proficiency in required sub-skills like DAX basics, JOIN operations, and reusable code writing. Familiarity with Jupyter Notebook is also not mentioned.</li>
    <li>The candidate has some exposure to the IT and data engineering domain through internships and projects, but their primary educational background in Mechanical Engineering suggests limited foundational knowledge in Information Technology or Data Engineering.</li>
    <li>The resume highlights problem-solving skills, communication abilities, and attention to detail. However, it does not provide strong evidence of a proactive attitude toward learning new tools or extensive collaboration with cross-functional teams.</li>
    <li>The certifications section indicates relevant training in data science and machine learning, which partially aligns with the required certifications. However, specific certifications in Python, MySQL, Power BI, or Excel are not explicitly mentioned.</li>
</ol>