# education.md — Academic Background & Qualifications

This document outlines the formal education, degrees, coursework, and competitive examinations of Suyash Shukla.

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## 1. Higher Education

### Madan Mohan Malaviya University of Technology (MMMUT), Gorakhpur
- **Degree:** Bachelor of Technology (B.Tech)
- **Major:** Computer Science & Engineering
- **Duration:** 2023 — 2027
- **Key Leadership:**
  - President, Computer Science & Innovation Society (CSIS)
  - Vice President, HackWithIndia Chapter
- **Research & Publications:**
  - Co-authored research paper on LLM bias detection published with Taylor & Francis (CRC Press) 2025.
  - Co-authored 3 book chapters on applied data science and virtual laboratory architectures.

### Indian Institute of Technology Madras (IIT Madras)
- **Degree:** Bachelor of Science (B.Sc)
- **Major:** Data Science & Applications
- **Duration:** 2024 — 2028
- **Academic Standing:** CGPA 8.4
- **Honors:** Perfect GPA (S-Grade) in Python Programming, Mathematics 2, and English.
- **Campus Contributions:**
  - Content Writer and Researcher @ Corbett House, IIT Madras
  - Public Relations & Outreach Team Member @ Corbett House, IIT Madras

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## 2. Competitive Examinations

### Graduate Aptitude Test in Engineering (GATE) 2026
- **Discipline:** Computer Science & Information Technology (CS & IT)
- **Status:** Qualified

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## 3. Secondary & Higher Secondary Education

### Delhi Public School (DPS), Gomtinagar
- **Class 12 (CBSE):** 93.6%
- **Class 10 (CBSE):** 96.2%
- **Honors & Extracurriculars:**
  - Regional Science Exhibition 1st Place (CBSE State-level Zone, 2019)
  - Robotics Mentor for Class 8 students

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## 4. Relevant Coursework
- **Computer Science:** Data Structures & Algorithms, Object-Oriented Programming (Java/C++), Operating Systems, Database Management Systems (DBMS), Computer Networks, System Design (HLD/LLD).
- **Data Science & Mathematics:** Linear Algebra, Discrete Mathematics, Probability & Statistics, Machine Learning, Deep Learning, Natural Language Processing.

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## 5. Related Resources
- [Knowledge Home](/knowledge/me.md)
- [Experience](/knowledge/experience.md)
- [Research](/knowledge/research.md)
- [Achievements](/knowledge/achievements.md)