Hey, I'm

Bharath Kumar A A, CV and portfolio

Aspiring Data Scientist & Developer

3rd-Year Computer Science & Engineering (Data Science) @ Sathyabama Institute of Science and Technology, Chennai

I bridge statistical modeling, data pipelines and high-performance interactive interfaces. Obsessed with measurement, low-latency execution and telemetry precision: messy data in, decisions out.

BHARATH

Let's build something awesome!

Profile

Computer science student working toward data science and machine learning.

Education3rd-Year

B.E. Computer Science & Engineering (Data Science)

Sathyabama Institute of Science and Technology, Chennai

I'm Bharath Kumar A A. Coursework keeps me honest on the foundations; projects are where I put them to work, taking raw data through a model and out to an interface people can actually use.

Core coursework

Data Structures
Algorithms
Database Management
Operating Systems

Focus areas

Machine LearningPredictive models in Python and Pandas, like spotting at-risk students early.
Data VisualizationDashboards in Power BI and live 3D views that make data readable.
Digital Twins & 3DReal buildings rebuilt in Three.js and wired to live, linked data.
Security & AutomationNFC forensics, evidence analysis and Python/n8n workflows.

Technical Skills

The tools I reach for, grouped by where they fit.

Languages

Python
C
Java
R
SQL
JavaScript

Data Science & AI

NumPy
Pandas
Machine Learning
PyTorch
Power BI
Jupyter

Web & Tools

React
React Native
Three.js
Django
Docker
Figma

Featured Projects

A live 3D digital twin of a real campus building, and an Android app that checks NFC tags before you trust them.

3D Twin

BB Digital Twin

3D smart-building digital twin

Problem

See how a whole building is behaving in one view, and how changing one thing (an AC setpoint, a fire drill) ripples through energy and comfort.

Built with

React
Three.js
TypeScript
Vite
Tailwind

Key metric

3 floors, 48 rooms and 1 campus block modelled with live-linked telemetry

Security

TapTrust

NFC tag forensics & risk scoring

Problem

Phones blindly open whatever an NFC sticker points to; TapTrust inspects the tag first and explains exactly why it is safe or risky.

Built with

Kotlin
Jetpack Compose
Android NFC
Flipper Zero

Key metric

Explainable 0–100 risk score: demo Tag A 08/100 low risk vs Tag B 87/100 high risk

your project here?Let's talk →

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GHgithub.com/BharathBeastinLinkedIn