Academic foundation

Education that supports practical software work.

My education gave me the foundation to move from study into real project building, especially in full stack development, backend-oriented systems, and data-aware problem solving.

NagpurFirst ClassCGPA 7.49
Snapshot

Academic background with direct project relevance

The value here is not just the degree title. It is the way the academic path connects to the kind of software work shown across this site.

  • B.Tech in Computer Science and Engineering (Data Science)
  • First Class result with CGPA 7.49 / 10
  • 11th and 12th completed at Mount Jr. College of Science, Saoli
02Education stages
01Degree
05Project links
Context

Why this page matters

This page gives recruiters and reviewers qualification context without using fake work history to fill gaps.

  • RTMNU graduate
  • Data Science background
  • Project-backed learning
Degree

B.Tech in Computer Science and Engineering (Data Science)

I completed B.Tech in Computer Science and Engineering (Data Science) from Rashtrasant Tukadoji Maharaj Nagpur University (RTMNU) in 2025. The degree gave me a strong academic base while I continued building practical projects alongside it.

  • University: Rashtrasant Tukadoji Maharaj Nagpur University (RTMNU)
  • Completion year: 2025
  • Result: First Class
  • CGPA: 7.49 / 10
11th and 12th

Mount Jr. College of Science, Saoli.

I completed 11th and 12th at Mount Jr. College of Science, Saoli, Dist. Chandrapur in 2021 and 2022 before moving into my engineering degree path.

  • Location: Saoli, Dist. Chandrapur
  • Timeline: 2021 and 2022
  • Transitioned directly into engineering after higher secondary education
How the education shows up in projects

Study becomes useful when it changes how you build.

The strongest value from the academic path is the way it shaped the practical work that followed.

Foundation

Programming and problem-solving mindset

Education helped strengthen the habits needed to think clearly about how a program should behave and how features should be structured.

Data focus

A data science background that stays practical

Instead of keeping data science separate from development, I try to turn data-oriented thinking into usable software and real outputs.

Application thinking

Project work beyond theory

The portfolio projects show that I prefer using what I learn to build things people can actually use or review.

Career relevance

A good fit for early-career software roles

The degree story supports full stack, backend, Java, Python, and data-backed application opportunities.

Academic to practical

Project work turned the education into visible proof.

QuickBite Delivery, PDF to Audiobook V2, PDF Translation Tool, and the rest of the portfolio matter because they show how the learning moved into buildable, explainable software work.

Current direction

Now focused on turning that base into professional contribution.

The next step is to use the academic foundation and project experience in real full-time, internship, or part-time work where the learning can continue through real product needs and code reviews.

Opportunities

Looking for a full stack developer with strong backend project depth and honest presentation?

I am open to full-time, internship, and part-time opportunities where Java, Python, full stack delivery, backend systems, or data-backed software work can create value.