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

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<h5><b>Overall Summary</b></h5>
<ol style="font-family: Roboto; font-size: 0.88rem;">
<li><b>Roles & Responsibilities:</b> The candidate has extensive experience in AI/ML, deep learning, and generative AI but lacks direct mention of causal inference modeling, SQL-based data manipulation, and MLOps frameworks. While they have worked on model development and deployment, the resume does not explicitly highlight experience in business problem-solving using classification, clustering, or regression models.</li>

<li><b>Years of Experience:</b> The candidate has over 14 years of R&D experience and 8 years in AI/ML, which significantly exceeds the required 2-5 years. However, the job requirement specifically seeks mid-level experience, making the candidate overqualified.</li>

<li><b>Education Qualification:</b> The candidate holds a PhD in Machine Learning, an M.Tech in Electronics and Communication Engineering, and a B.E. in the same field. This exceeds the unspecified education requirement.</li>

<li><b>Skills/Knowledge:</b> The candidate has strong proficiency in Python, NumPy, Pandas, Scikit-Learn, TensorFlow, and Keras. However, SQL expertise is not explicitly mentioned. Experience with cloud platforms like Azure, AWS, or GCP is also missing. While they have deep learning and NLP experience, there is no mention of Tableau, Power BI, or MLOps.</li>

<li><b>Domain/Industry:</b> The resume does not specify experience in a particular business domain relevant to the job. Most of the experience is in research and academia rather than industry-driven data science applications.</li>

<li><b>Key Competencies:</b> The candidate demonstrates strong problem-solving, leadership, and research skills. They have experience mentoring teams and working on AI/ML projects. However, the resume lacks explicit mention of collaboration with business stakeholders or experience in model monitoring and optimization.</li>

<li><b>Certifications:</b> The candidate has multiple relevant certifications, including Machine Learning (Stanford, IBM), Deep Learning (DeepLearning.AI), and Generative AI (Microsoft). These align well with the job requirements.</li>
</ol>
```