Hello, I'm Md Razoun Islam Computer Science Engineer

Motivated and hardworking individual eager to grow professionally while contributing effectively to organizational success.

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01. About Me

I am a Computer Science and Engineering graduate with interests in machine learning, image classification, and applied IT engineering. I have hands-on experience in deep learning through an academic project on betel leaf disease detection using convolutional neural networks, where I worked on data preprocessing, model training, and evaluation using Google Colab. I am particularly drawn to practical IT and engineering roles that support real-world systems and operations. Alongside technical skills, my leadership and volunteer experiences have strengthened my communication and teamwork abilities. I am seeking an entry-level or internship opportunity to grow professionally and contribute to impactful, technology-driven solutions.

Leadership & Activities

👨‍✈️

Student Platoon Commander

2018-2020

👔

Leader of Prefects

2018-2020

🤝

General Secretary

Jaggroto Tarunno Club (2022-2024)

❤️

Voluntary Service

Member (2021-2025)

02. Education

2021-2025

Bachelor of Science

Computer Science and Engineering

Daffodil International University

CGPA: 3.00 out of 4.00

2020

Higher Secondary School Certificate (H.S.C)

BEPZA Public School And College

Result: 5.00 | Science Group | Dhaka Education Board

2018

Secondary School Certificate (S.S.C)

BEPZA Public School And College

Result: 4.89 | Science Group | Dhaka Education Board

03. Skills & Expertise

Professional Skills

IT Support Communication Team Work Management Self-Motivation

MS Office

Word Excel PowerPoint

Development Tools

Google Colab PyCharm VSCode

Languages

English Excellent
Writing: Excellent | Reading: Excellent | Speaking: Good
Bangla Excellent
Writing: Excellent | Reading: Excellent | Speaking: Excellent

04. Research & Projects

🔬

Betel Leaf Disease Detection Using Deep Learning

Conducted research on the application of CNN-based models for early disease detection in betel leaves. Focused on agricultural image classification and model performance optimization.

Deep Learning CNN Image Classification Python
🛡️

Cyberbullying Risk Prediction Using Machine Learning

A machine learning–driven project that analyzes real survey data from Bangladeshi university students to identify cyberbullying involvement and psychological risk. Implemented supervised learning models to classify students into high- and low-risk categories.

Python Machine Learning Scikit-learn Data Analysis

05. Contact

I'm always open to discussing new opportunities, interesting projects, or just having a conversation. Feel free to reach out!