Learning. Building. Improving.
Computer Science student building end-to-end data science and machine learning projects.
📍 Bangladesh 🎓 United International University
Explore my projects, experiments, and research below.
🎓 Computer Science Student at United International University
📊 Passionate about Data Science, Machine Learning, and Artificial Intelligence
💻 I enjoy building end-to-end data science projects, transforming raw data into meaningful insights through data cleaning, visualization, feature engineering, machine learning, and deployment.
🔬 Currently expanding my knowledge in Scikit-learn, Statistics, SQL, and Data Engineering while developing projects that solve real-world problems.
🎯 Career Goal: Data Scientist → Machine Learning Engineer
| Project | Description | Tech Stack |
|---|---|---|
| 🧠 Deepfake Detection | Dual-Stream CNN combining RGB and Frequency Domain (DCT) features for image deepfake detection. | TensorFlow • OpenCV • Python |
- Building end-to-end Data Science projects
- Studying Machine Learning with Scikit-learn
- Exploring feature engineering and model evaluation
- Reading AI and Computer Vision research papers
| Category | Tools & Technologies |
|---|---|
| Programming Languages |      |
| Data Science |     |
| Databases |  |
| Data Science Tools |   |
| Version Control |   |
| Operating Systems |    |
| AI Productivity Tools |     |
| Web Technologies |    |
| Design Tools |   |
- Scikit-learn
- Statistics for Data Science
- Feature Engineering
- SQL Optimization
- Data Engineering
- Machine Learning
- Computer Vision
- Explainable AI
- Data Science
- Human-Computer Interaction
👩🏼💻 My Story
Hi, I'm Shimu, a Computer Science student with a strong interest in Data Science, Machine Learning, and AI.
My fascination with technology began through anime, where futuristic ideas sparked my curiosity about what technology could achieve. Over time, that curiosity evolved into a passion for solving real-world problems with data and intelligent systems.
Today, I enjoy exploring the entire data science workflow—from data collection and cleaning to exploratory data analysis, visualization, feature engineering, and machine learning. I'm continually building projects that strengthen my technical skills while applying what I learn to meaningful challenges.
This GitHub documents my learning journey, showcasing my projects, experiments, and research as I grow toward becoming a Data Scientist and Machine Learning Engineer. I'm always eager to learn, collaborate, and build solutions that create a positive impact.
✨ Thanks for visiting my profile — let’s build something great together!