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dushyantrajotia/README.md

Hey, I'm Dushyant!

Typing SVG

πŸš€ About Me

I am a B.Tech Computer Science Engineering (AI & Data Science) student passionate about building intelligent systems using Machine Learning, Deep Learning, and Data Analytics.

I have hands-on experience in developing predictive models, deep learning solutions, and data-driven applications. During my internship at Coincent Pvt. Ltd., I worked on a Brain Tumor Classification system using Fine-Tuned VGG19, achieving strong performance through image preprocessing and deep learning optimization.

My projects include Flight Price Prediction, Customer Churn Prediction using XGBoost with FastAPI deployment, Stock Market Analysis, and an NCC Cadet Management Portal.

  • πŸŽ“ B.Tech CSE (AI & Data Science) Student
  • 🧠 Data Science Intern @ Coincent Pvt. Ltd.
  • 🌱 Currently exploring Advanced Machine Learning, Deep Learning & MLOps
  • πŸ’¬ Ask me about Machine Learning, Deep Learning, Computer Vision, NLP, Data Analytics
  • ⭐ Senior Under Officer (SUO), NCC β€” 3 PB BN NCC Ludhiana
  • πŸ† Academic Excellence Award | 2nd Position - Idea & Innovation Competition 2025

πŸ› οΈ Tech Stack

πŸ‘¨β€πŸ’» Programming Languages

Python

πŸ€– Machine Learning & AI

Machine Learning Deep Learning TensorFlow Keras Scikit Learn OpenCV

πŸ“Š Data Science & Visualization

NumPy Pandas Matplotlib Seaborn Power BI EDA

🧠 AI Domains

Computer Vision NLP Transformers Statistical Modelling

🌐 Backend & Deployment

FastAPI Docker Streamlit MySQL

πŸ› οΈ Tools

Git GitHub Jupyter Google Colab VS Code


πŸš€ Featured Projects

🧠 Brain Tumor Classification using Fine-Tuned VGG19

  • Developed a deep learning model using transfer learning with VGG19.
  • Applied image preprocessing techniques including grayscale conversion, Gaussian filtering, thresholding, and augmentation.
  • Achieved:
    • Accuracy: ~82%
    • F1 Score: 0.805
    • AUC-ROC: 0.86

✈️ Flight Ticket Price Prediction

  • Built an ML regression model for predicting flight ticket prices.
  • Compared multiple regression algorithms and optimized Random Forest using hyperparameter tuning.
  • Achieved:
    • Adjusted RΒ²: ~0.89
    • MAE: ~350
    • RMSE: ~550
  • Deployed using Streamlit.

πŸ“‰ Customer Churn Prediction System

  • Built an XGBoost-based churn prediction system with 94% accuracy.
  • Developed FastAPI REST APIs for real-time predictions.
  • Containerized application using Docker for cloud deployment.

πŸͺ– NCC Cadet Management Portal

  • Developed a web-based portal for managing NCC cadet records.
  • Implemented SQL database management for attendance, documents, and camp records.
  • Digitized manual record keeping for efficient administration.

πŸ… Leadership & Achievements

  • πŸŽ–οΈ Senior Under Officer (SUO), 3 PB BN NCC Ludhiana
  • πŸ† Academic Excellence Award (1st Year)
  • πŸ₯ˆ 2nd Position β€” Inter Group Competition of Idea & Innovation 2025

πŸ”— Connect With Me

Website

Email

LinkedIn

GitHub

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  1. INHacking INHacking Public

    Indian Hacking Tool!! Tools to help you with ethical hacking, Social media hack, phone info, Gmail attack, phone number attack, user discovery, Anonymous-sms, Webcam Hack β€’ Powerful DDOS attack too…

    Shell 20 3

  2. 2048 2048 Public

    This site is the clone of 2048.

    JavaScript 1

  3. DevFusionOrg/duet DevFusionOrg/duet Public

    Duet lets you chat with friends while listening to music together in perfect sync! No more sending song links and trying to press play at the same time - Duet handles all the synchronization automa…

    JavaScript 1 3

  4. Jarvis-VirtualAssistant Jarvis-VirtualAssistant Public

    A Virtual Assistant to help you with all your tasks over your system

    HTML 1

  5. MovieLens MovieLens Public

    Forked from DevFusionOrg/MovieLens

    MovieLens is a comprehensive Android application that helps movie enthusiasts discover, track, and get personalized movie recommendations. With intelligent AI-powered suggestions and seamless user …

    Kotlin

  6. NCC_AI_Trainer NCC_AI_Trainer Public

    Forked from isimarjitsingh/NCC_AI_Trainer

    This project analyze the cadet drill and then give feedback

    Python