Master of Science in Data Science

Manipal Academy of Higher Education
2024 - 2026 (Expected) Ongoing
GPA: 9.2/10

Pursuing advanced degree in Data Science while working full-time as a Support Escalation Engineer at Microsoft. Focus on distributed systems, machine learning algorithms, and statistical analysis with practical applications in network diagnostics and infrastructure automation.

  • Balancing full-time work with advanced academic studies
  • Specializing in distributed systems and data science technologies
  • Applying data science principles to network troubleshooting and automation
  • Current GPA: 9.2/10 demonstrating consistent academic excellence
Machine Learning Distributed Systems Statistical Analysis Python & R Big Data

Bachelor of Engineering

Chandigarh University
2017 - 2021 Completed
GPA: 8.7/10

Bachelor's degree with Honors in Cloud Computing, providing strong foundation in computer networks, distributed systems, and cloud infrastructure. The program emphasized practical skills in network administration, virtualization, and enterprise systems architecture.

  • Specialized in Cloud Computing with Honors distinction
  • Strong foundation in computer networks and distributed systems
  • Hands-on experience with virtualization and cloud infrastructure
  • Graduated with GPA: 8.7/10
Cloud Computing Computer Networks Virtualization Distributed Systems Network Administration

Higher Secondary Education

DAV Public School
2015 - 2017 Completed
Percentage: 92%

Completed higher secondary education with strong academic performance in science and mathematics. This foundational education provided the analytical and problem-solving skills that continue to drive success in technical roles and continuous learning endeavors.

  • Strong academic performance with 92% aggregate
  • Focused on science and mathematics
  • Developed analytical and problem-solving foundations
  • Built strong work ethic and learning discipline
Science Mathematics Problem Solving Analytical Thinking
LearningPhilosophy.exe

"Education is not just about acquiring knowledge—it's about developing the ability to learn, adapt, and apply that knowledge to solve real-world problems."

Continuous Growth

Balancing full-time work with advanced studies demonstrates commitment to continuous learning and professional development.

Practical Application

Academic knowledge is most valuable when applied to real-world scenarios. Studies in data science directly enhance capabilities.

Foundation Building

Strong educational foundations in cloud computing and networking provide the framework for solving critical technical challenges.

Future-Focused

Pursuing advanced education in data science reflects forward-thinking approach to technology trends and IT infrastructure.