Hi, I'm
Diya Nathwani

AI Engineering student · CNN & NLP Specialist · Generative AI Enthusiast.
Building intelligent systems with Deep Learning, Medical Imaging (97% accuracy), and MLOps deployments.

About Me

AI Engineering student
with a drive for real‑world impact.

Hands-on experience in Machine Learning, Deep Learning, and Full Stack AI. Skilled in building CNN-based medical imaging systems, NLP solutions, and real‑time dashboards.

Passionate about model optimization, scalable deployments, and developing AI that solves meaningful problems.

Currently in my 3rd year of B.Tech AI Engineering and actively looking for AI roles & internships.

  • 📍 Nagpur, India
  • 🎓 B.Tech AI Engineering · CGPA 7.38
  • 💼 Open for AI roles & internships
97%
Best Model Accuracy
7k+
MRI Scans Processed
5k+
Agricultural Records
04
AI/ML Projects Built
Tech Stack

Skills & Tools

🐍Python
🧠TensorFlow
👁OpenCV
🔢NumPy
🐼Pandas
⚛️React.js
🟢Node.js
JavaScript
🌐HTML5
🎨CSS3
🗄SQL
🍃MongoDB
🐙GitHub
🎯Figma
🔬Scikit-learn
🤖NLP/NLTK
🚂Flask
📊Power BI
Featured Work

AI & Data Projects

01 · CNN · VGG16
MediVision AI · Brain Tumor Classification
CNN + VGG16 transfer learning achieving 97% accuracy on 7k+ MRI scans across 4 classes. Integrated DCGAN for synthetic data augmentation, Grad-CAM explainability, Flask dashboard, deployed on Render with MLflow & GitHub Actions CI/CD.
Python TensorFlow Flask Grad-CAM DCGAN
02 · ML · Agriculture
Crop Recommendation System
Random Forest & Decision Tree models trained on 5k+ agricultural records achieving 82% accuracy. Feature selection, normalization pipeline. Presented at SIH 2025 first round.
Scikit-learn Pandas SIH 2025 Python
03 · NLP · Text Classification
AI Sentiment Analyzer
Text classification system for positive/negative/neutral sentiment using NLTK & Scikit-learn with TF-IDF vectorization. Includes a web interface with real-time predictions via Flask.
NLP NLTK Flask TF-IDF
04 · Data Viz · Analytics
Netflix Content Dashboard
Interactive data visualization dashboard analyzing Netflix content trends with comprehensive data cleaning, dynamic filtering, and chart-based EDA insights using Power BI.
Power BI Data Viz EDA Analytics
Background

Experience & Education

Practical Experience

AI Intern
Codec Technologies
March – April 2026
Foundations of AI, Python data handling, ML, Neural Networks, NLP, Reinforcement Learning.
Smart India Hackathon (SIH) 2025
National Level Competition
2025
Cleared internal hackathon rounds & represented college at SIH First Round with Crop Recommendation System.
AI Club Member
College AI Club
2025 – Present
Active contributor to AI initiatives and knowledge sharing within the college tech community.

Education History

B.Tech Artificial Intelligence Engineering
2023 – 2027
CGPA: 7.38 · Third Year
HSC (State Board)
Adarsh Vidya Mandir, Nagpur
2023 · 61.50%
SSC
J.N. Tata Parsi Girl's High School, Nagpur
2021 · 79.60%
Let's Create Magic

Let's Collaborate

Get In Touch

Open for AI roles, research, and impactful projects. Let's collaborate! I am always open to discussing exciting opportunities and new ideas.