Ragul Dravid S

About

B.Tech. Artificial Intelligence and Data Science graduate with hands-on project experience in Python, SQL, data analysis, machine learning, and computer vision. Interested in Data Analytics, Data Science, and AI/ML roles focused on solving real-world problems and continuous learning.

Experience

• Machine Learning
  SAMCORE SOLUTION

  15-Day internship program with practical exposure to machine learning concepts, data preprocessing, model building, and evaluation; applied Python and machine learning techniques to basic real-world data problems.

Education

• B.Tech. AI&DS
  AKT Memorial College of Engineering and Technology · Anna university
  Artificial Intelligence and Data Science · Sep 2023 – Jun 2027

Skills

• SQL <3 months
• Python 1 to 2 years
• Classification <3 months
• Data Cleaning <3 months
• Matplotlib <3 months
• NumPy <3 months
• Pandas <3 months
• scikit-learn <3 months
• OpenCV <3 months
• Database Management <3 months
• API Integration Understanding <3 months
• Exploratory Data Analysis <3 months
• Object Detection <3 months
• Recommendation Systems <3 months
• Generative AI (ChatGPT, Copilot, Gemini) <3 months

Tools / apps / platforms

• Git <3 months
• GitHub <3 months
• Jupyter Notebook <3 months
• Microsoft Power BI <3 months
• VS Code <3 months

Languages

• Tamil Native / Bilingual Speak
• English Conversational Speak

Projects

• AI Retrieval-Augmented Generation (RAG) System
  Python, LLM, Embeddings, Vector Database

  Built a document-based question answering system using chunking, embeddings, vector search, and an LLM to generate relevant responses.

• Personal AI Assistant
  Python, Gemini API, REST API

  Built a personal AI assistant for intelligent responses and task automation with a modular workflow for AI-powered tasks.

• Credit Card Fraud Detection System
  Python, Pandas, Scikit-learn, Random Forest

  Built a machine learning system to detect fraudulent credit card transactions; applied preprocessing, scaling, and model evaluation on imbalanced data and achieved 0.9246 ROC-AUC.

Courses & certifications

• Build and Deploy Your Own AI Model · Atal Incubation Center – PEC Foundation · 2026
• Advanced Java Programming · VEI Technologies
• Cybersecurity Fundamentals · CISCO
• Cloud Computing · Google Cloud Skills Badge

🏆 Achievements & awards

• Copyright Registration · 2025

  Government Intellectual Property Application No. LD-39325/2025-CO

• International Conference Participation · 2026

  Participated in INCETAIBCT’26 and presented a paper titled “Foundation Models and Large Language Models.”

• National-Level Technical Symposium

  Selected and participated in a technical symposium.

• Nimirnthu Nil Hackathon

  Participated with an AI-Powered Newborn Baby Health Monitoring System.