BYAQUTA BIDHEYA BEHERA

Computer Science student building things and learning as I go.

I am a B.Tech Computer Science student specializing in Data Science, AI, and Machine Learning. For me, tech isn't just about writing code; it is about solving problems from the ground up and understanding the mechanics of how systems work together.

2025

Education

Started my Bachelor's Degree

Computer Science(DS), [DRIEMS University]

Began my undergraduate journey, laying down the foundations in math, programming, and problem solving.

B.TechData Science

2026

Achievement

Learned to talk to Computers

Learned C, Python, Java

Picked up my first languages and built small projects to turn ideas into working code.

CPythonJava

2027

Internship

[Placeholder] First internship

Company name goes here

Put classroom knowledge to work on real engineering problems with a professional team.

Full-StackTeam

2028

Leadership

[Placeholder] Led a student project/club

Team or organization name

Organized people, ran meetings, and shipped a shared goal with a group of peers.

ClubMentorship

2029

Achievement

[Placeholder] Hackathon / competition win

Event name goes here

Competed under pressure, shipped a demo in limited hours, and learned fast.

HackathonAI

2030

Education

[Placeholder] Graduated & started career

Role and company goes here

Completed my degree and stepped into the next chapter of building things.

GraduateCareer

Select Projects

A few things I've built — class projects, personal builds, and things I'm proud of.

[Placeholder] Project One

Short one-line description of what this project does and what you learned building it.

ReactNode.js

[Placeholder] Project Two

Short one-line description.

PythonData

[Placeholder] Project Three

Short one-line description.

Next.jsTailwind

Now

Currently Learning

[Placeholder] Currently deepening my skills in [topic/course/certification] — more on this soon.

In progress

Skills & Tools

Python

Core language for data and AI.

SQL

Querying and managing structured data.

Pandas

Data cleaning and analysis workflows.

NumPy

Fast numerical computing with arrays.

Matplotlib

Clear, customizable data visualizations.

Seaborn

Statistical visualizations with Python.

Scikit-learn

Machine-learning models and evaluation.

TensorFlow

Building and training deep-learning models.

PyTorch

Flexible deep-learning experimentation.

Jupyter Notebook

Interactive analysis and experimentation.

Git & GitHub

Version control and project collaboration.

Docker

Containerizing reproducible applications.

Apache Spark

Distributed processing for large datasets.

AWS (or Azure/GCP)

Cloud services for data and deployment.

Tableau (or Power BI)

Dashboards for actionable insights.

Campus Life & Activities

Beyond the classroom — clubs, events, and people.

Hackathon night [Placeholder]

Sports day [Placeholder]

Tech fest [Placeholder]