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SiamBlade 81

@siamblade81

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Computer science student building ML and full-stack projects with clean, practical code.

Bangladesh

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What I'm looking for

I’m looking for a hands-on team where I can keep building real-world ML and web projects, learn best practices, and grow through feedback. I enjoy clean code, practical implementation, and applying models to meaningful problems.

I’m a Computer Science student dedicated to Machine Learning, Data Science, and Full Stack Development. I follow a structured roadmap to master Python, ML, and full-stack web development, building small projects while focusing on supervised learning, data preprocessing, and model evaluation.

I keep my skills sharp by practicing algorithms and data structures through coding platforms and daily problem-solving. I’m passionate about clean code and real-world implementation, and I actively maintain GitHub with personal experiments, API work, and DOM manipulation using JavaScript.

Some of my current work includes Bangla Fake News Detection, where I preprocess Bangla text, apply TF-IDF, and train classifiers like Naive Bayes and SVM. I’ve also built a responsive portfolio website using HTML, CSS, JavaScript, and Tailwind—designed to showcase projects with a clean, fully responsive experience.

Experience

Work history, roles, and key accomplishments

Current

Self-learning ML & Full Stack

Current

Symoon al Siam

Jan 2024 - Present (2 years 6 months)

Following a structured roadmap to master Python, machine learning concepts (supervised learning, data preprocessing, model evaluation), and full-stack web development. Building small projects, practicing algorithms and data structures, and maintaining GitHub with personal experiments including API work and DOM manipulation.

Python Machine Learning Supervised Learning data preprocessing Model Evaluation Algorithms Data Structures JavaScript HTML CSS Tailwind GitHub Git

Education

Degrees, certifications, and relevant coursework

NITER

Bachelor of Science (BSc), Computer Science & Engineering

2022 -

BSc in Computer Science & Engineering (CSE), currently in the 5th semester (2022–present). Focuses on self-learning and building projects in machine learning and full-stack development.