Md. Shakhawat Hossen

🎓 Educational Background:

Currently pursuing MSc in Computer Science & Engineering at Comilla University, with a strong academic foundation (CGPA 3.73/4.00 in BSc).

📊 Data Analysis & Machine Learning Skills:

Proficient in Python, SQL, Excel, and SPSS for data analysis. Experienced in using libraries like Pandas, NumPy, Matplotlib, Seaborn, and Plotly for data visualization.

🤖 AI & ML Expertise:

Skilled in building machine learning models, conducting EDA, feature engineering, and model evaluation. Completed multiple hands-on projects involving supervised learning, deep learning, and classification tasks.

🛠️ Technical Tools:

Jupyter Notebook, Power BI, Git/GitHub, Visual Studio, CodeBlocks, and C# for application development and analysis.

🧠 Key Projects:

• Internet Shutdown Analysis (Thesis – Ongoing)
• Using machine learning to study the effects and consequences of government-imposed internet disruptions. Focus on sentiment analysis and movement prediction.
• Diabetes Prediction with Diverse Classifiers
• Compared ML classifiers to predict diabetes, achieved 82.24% accuracy using Random Forest. Developed a GUI for user-friendly data input.
• Brain Tumor Detection using CNN
• Built a CNN model with 78% accuracy to classify MRI images. Designed a user interface for image input and result display.
• Underwater Object Classification (Rock vs. Mine)
• Applied logistic regression and EDA to sonar dataset. Improved classification accuracy through preprocessing and feature selection.

📚 Certifications:

• Machine Learning Specialization – Coursera
• Mathematics for Machine Learning – Coursera
• Professional Programming with C# – Dev Skill

💡 Soft Skills:

Strong in communication, leadership, critical thinking, teamwork, and innovation.

🔍 Interests:

Passionate about data-driven research, teaching, deep learning, and solving real-world problems with AI.