Arvindh Babu V Portfolio

Arvindh Babu V

About Me

Hello! I am Arvindh Babu V, a dedicated Artificial Intelligence and Data Science student at SRM TRP Engineering College, passionate about leveraging technology to solve real-world problems. With a strong foundation in data science, machinelearning, and web development, I am continuously expanding my expertise to build intelligent systems that drive innovation. My journey in AI began with a deep curiosity about how data-driven insights can shape industries. Over time, this curiosity evolved into hands-on experience, earning me an IBM Professional Certificate in Data Science and the Machine Learning Foundation in AWS Educate. These experiences have strengthened my ability to analyze data, build predictive models, and develop interactive web applications. Beyond academics, I enjoy playing chess, a game that sharpens my strategic thinking, and curating music playlists that reflect my moods and inspirations. Whether it’s developing AI models, optimizing web applications, or exploring emerging technologies, I am always eager to learn, collaborate, and push the boundaries of what’s possible with AI.

AI-DS STUDENT

"It's not who I am underneath, but what I do that defines me."

♠ Birthday: 23 August 2006
♠ City: Tiruchirappalli, Tamil Nadu, India
♠ Languages Known: Tamil, English, Telugu
♠ Hobbies: Reading Books, Watching Movies
♠ Favourite Books: Hamlet, War and Peace
♠ Favourite Movies: Interstellar, Fight Club

♠ College: SRM TRP Engineering College
♠ Degree: Bachelor of Technology
♠ Branch: Artificial Intelligence and Data Science
♠ CGPA: 8.3
♠ Strengths: Leadership, Patience, Team work
♠ Favourite Sport/Game: Cricket, Chess

Coding Profiles

Track my problem-solving journey on competitive programming platforms

LeetCode

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HackerRank

@arvindhbabu23

Problem Solving • Python • SQL • Java

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Skills

Programming Languages

Python 100%

Java 90%

C++ 80%

C 75%

SQL 95%

R 60%

Computer Science Fundamentals

Data Structures and Algorithms (DSA) 100%

Object-Oriented Programming (OOP) 90%

Natural Language Processing (NLP) 85%

Database Management System (DBMS) 80%

Operating Systems (OS) 75%

Design And Analysis Of Algorithms (DAA) 70%

Data Science & AI

Data Analysis 100%

Machine Learning 90%

Deep Learning 80%

Generative AI 75%

Data visualization 90%

Big Data Analysis 70%

Software Tools

VS Code / JetBrains IDEs 100%

Jupyter Notebook / Google Colab 90%

Power BI / Tableau 75%

Git & Github 80%

MYSQL 90%

NLTK 70%

Libraries and Frameworks

Pandas 100%

Numpy 90%

Matplotlib & Seaborn 75%

PyTorch 80%

Tensorflow 90%

Scikit-learn 70%

Cloud Computing & Big Data

MS Azure 100%

Google Cloud 95%

AWS 85%

IBM Cloud 90%

Hadoop 75%

Spark 70%

Python Development

Core Python 100%

Django 85%

Flask 85%

Web Scraping (BeautifulSoup) 75%

Python for Data Science 95%

Automation & Scripting 70%

Web Development

HTML 100%

CSS 90%

JavaScript 75%

Flask (Python) 80%

React.js 90%

Node.js 55%

Mathematics & Analytics

Linear Algebra 100%

Discrete Mathematics 90%

Statistics 85%

Probability 80%

Calculus 75%

Partial Differentials 70%

Soft Skills

Communication Skills 100%

Problem-Solving 90%

Critical Thinking 85%

Team Collaboration 80%

Adaptability & Curiosity 75%

Time Management 75%

Experience

Hands-on internships and virtual experiences in data science, web development, and cloud architecture, showcasing my ability to apply technical skills to real-world challenges and deliver impactful results.

AI and Cloud Intern

Latest

Edunet Foundation | IBM SkillBuild

Jul 2025 – Aug 2025

Completed industry-oriented projects under IBM SkillBuild, focusing on AI and Cloud Computing.
Gained hands-on experience with IBM Cloud Lite, watsonx.ai, and deployment tools.

Generative AI Intern

Prodigy Infotech

Jul 2025 – Aug 2025

Completed 5 task-based projects focused on Generative AI applications.
Gained hands-on experience in prompt engineering, text-to-image generation, and LLM-based tasks.

AI & Data Analytics Intern

Edunet Foundation | AICTE Internship

Apr 2025 – May 2025

Built an interactive Power BI dashboard to analyze energy consumption across utilities.
Cleaned and transformed raw CSV datasets using Excel for accuracy and consistency.

Foundations of AI Intern

Edunet Foundation | Microsoft

Apr 2025 – May 2025

Gained hands-on experience in AI, ML, Deep Learning, and Generative AI concepts.
Completed projects involving supervised/unsupervised learning and image classification.

Data Science Intern

CodSoft

Feb 2025 – Mar 2025

Developed predictive models with 85%+ accuracy for business decision-making.
Conducted data preprocessing, feature engineering, and statistical analysis on datasets.

Web Development Intern

InternPe

Feb 2025 – Mar 2025

Built responsive web applications, reducing load time by 30% through optimized development.
Developed and integrated RESTful APIs, enhancing website functionality and UX.

Projects

"Explore my collection of projects that demonstrate my proficiency across various fields, such as robotics, IoT, machine learning, and web development, showcasing my ability to craft innovative solutions to real-world challenges."

Research Paper

QKD BB84 PQC

Quantum-Secured Messaging System

A next-generation secure messaging platform that integrates Quantum Key Distribution (QKD) with Post-Quantum Cryptography (PQC) to enable real-time attack-aware communication. The system uses BB84-based key exchange and continuously monitors Quantum Bit Error Rate (QBER) to detect eavesdropping attempts and dynamically control message transmission.

Tech Stack: Python, FastAPI, WebSockets, BB84 QKD, Post-Quantum Cryptography
Key Features: QBER-based attack detection, session-isolated keys, hybrid QKD-PQC security, real-time secure chat
Impact: Demonstrates application-layer quantum intrusion detection and prevents message transmission during active attacks

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LSTM Deep Learning

Stock Price Prediction

A deep learning-based system that predicts future stock prices using Long Short-Term Memory (LSTM) networks. The model leverages historical stock market data to capture temporal dependencies and generate accurate forecasts.

Tech Stack: Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow/Keras
Key Features: LSTM-based time series prediction, data normalization, trend visualization
Impact: Robust forecasting tool for investors to anticipate market trends

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Random Forest SHAP

Heart Disease Prediction

A robust system that predicts heart disease using diagnostic medical data through advanced classification techniques. The model employs Random Forest classifier with SHAP for explainable AI.

Tech Stack: Pandas, NumPy, Matplotlib, Scikit-learn, SHAP
Key Features: Random Forest classification, SHAP-based explainability, performance visualization
Impact: Empowers healthcare professionals with reliable diagnostic tools

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Content-Based Collaborative

Movie Recommendation System

An AI-powered system that recommends movies using collaborative and content-based filtering. Analyzes user ratings, metadata, and behavioral patterns to deliver personalized recommendations.

Tech Stack: Pandas, NumPy, Scikit-learn
Key Features: Content-based and collaborative filtering, user profiling, similarity scores
Impact: Enhances user experience with accurate, scalable movie recommendations

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NLP TF-IDF

Fake News Detection

A machine learning system that identifies fake news using Natural Language Processing (NLP). Analyzes textual data to distinguish reliable content from deceptive articles using supervised learning.

Tech Stack: Pandas, NumPy, Scikit-learn, NLTK/TfidfVectorizer
Key Features: Text preprocessing, TF-IDF vectorization, logistic regression
Impact: Automated tool to combat misinformation across digital platforms

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Scikit-learn SMOTE

Predictive Analytics & ML Models

Developed ML models for Titanic survival prediction, movie rating prediction, and sales forecasting with 90%+ accuracy. Built a fraud detection system using Random Forest & SMOTE.

Tech Stack: Python, Scikit-learn, Random Forest, SMOTE, SVM, KNN
Projects: Titanic, Movie Rating, Sales Forecasting, Fraud Detection, Iris Classification
Impact: Predictive analytics with feature engineering and accuracy optimization

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GPT-2 Diffusion GANs

Generative AI Projects

Completed 5 end-to-end projects on Generative AI using cutting-edge models (GPT-2, Diffusion, pix2pix, VGG19). Developed Text Generation, Image Generation, Image Captioning, and Neural Style Transfer.

Tech Stack: Python, TensorFlow, PyTorch, HuggingFace, Matplotlib, PIL
Projects: Text Gen, Image Gen, Image Captioning, Image-to-Image, Neural Style Transfer
Skills: GANs, Diffusion Models, Transformers, CNN–RNN architectures

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HTML/CSS JavaScript

Web Development Projects

Developed a Simple Calculator, fully functional E-Commerce Website with product listings and shopping cart, and a To-Do List App with add, delete, and update functionalities.

Tech Stack: HTML, CSS, JavaScript
Projects: Simple Calculator, E-Commerce Website, ToDo List App, Connect Four Game
Skills: Front-end development, DOM manipulation, Responsive design

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Certifications

"A testament to my commitment to continuous learning and professional growth, these certifications showcase my expertise and dedication to excelling in the fields of AI, machine learning, and software development."