KANKON MONDAL

ELECTRONICS & COMMUNICATION ENGINEERING
Khulna University of Engineering & Technology (KUET)

Summary

ECE undergraduate at KUET with interests in Machine Learning, Deep Learning, and Data Science. Experienced in Python, ML, computer vision, and backend development, with hands-on experience building and deploying practical projects.

Education

B.Sc. in Electronics & Communication EngineeringSep 2025 – Present
Khulna University of Engineering & Technology (KUET)
Analog Electronics, Signals and Systems, Machine Learning.... etc

Projects

GreenSort - Waste Classification SystemApr 2026 – Jun 2026
Deep Learning · TensorFlow/Keras · CNN · Computer Vision
  • Developed a CNN-based binary image classification model for waste classification.
  • Trained on 25,000+ images with 224×224×3 input dimensions.
  • Achieved 92.04% test accuracy and 0.92 F1-score.
Heart Disease Risk AnalyzerDec 2025 – Jan 2026
Machine Learning · Scikit-learn · Python · FastAPI
  • Developed a machine learning model for heart disease risk prediction using clinical features.
  • Performed data preprocessing, feature preparation, model training, and evaluation.
  • Achieved approximately 87% accuracy and compared multiple classification algorithms.

Skills

Languages
Python, C
Data Science
NumPy, Pandas
ML / Frameworks
Scikit-learn, TensorFlow/Keras
Core Domain
Machine Learning
Version Control
Git / GitHub
Simulation & Tools
MATLAB, Multisim

Courses & Certifications

CS50x - Introduction to Computer Science by Harvard University
Introduction to Data Science in Python by University of Michigan
Applied Python Data Visualization by University of Michigan
Machine Learning Specialization by DeepLearning.AI and Stanford Online

Research Interests

Machine LearningDeep LearningEmbedded SystemsComputer VisionSignal ProcessingElectronics and Communication

Additional Information

Languages: English, Bangla.

Original 1-Page Document Preview

Download PDF (65 KB)

Need a verified offline copy?

Download the 1-page PDF formatted for academic & graduate research applications.

Download Official CV (PDF)