About Me
I am a Computer Science and Engineering student at Pabna University of Science and Technology with expertise in machine learning, deep learning, and web development. Skilled in competitive programming, reaching the Pupil rank on Codeforces.
Experienced in healthcare-focused AI research, including Explainable AI (XAI) and cardiovascular disease detection. Possesses hands-on experience in data preprocessing, feature selection, and model optimization techniques, including advanced hyperparameter tuning with GridSearchCV and forward floating selection.
Committed to continuous learning and eager to contribute innovative solutions in the fields of AI, cybersecurity, and quantum machine learning.
Contact Information
Technical Skills
Education
CGPA: 3.61 (Current)
Level in EQF: EQF level 6
Final Grade: 4.75
Field of study: Science
Level in EQF: EQF level 3
Final Grade: 4.59
Field of study: Science
Level in EQF: EQF level 2
Projects
An automated system that analyzes resumes and matches candidate skills with job requirements.
Developed a machine learning model for diabetes prediction using patient data. The project involved data preprocessing, feature selection, and model training to accurately classify individuals based on risk factors. Utilized techniques like hyperparameter tuning to optimize performance, aiming to provide a reliable tool for early diabetes detection.
An artificial neural network that classifies handwritten digits.
Implemented a machine learning model for heart disease prediction using clinical data. The project included data cleaning, feature selection, and model training to assess cardiovascular risk factors. Applied techniques like hyperparameter tuning to enhance prediction accuracy, providing a tool for early diagnosis of heart disease.
A machine learning model that predicts gold prices based on historical data.
A machine learning model that predicts academic results based on various factors.
A web application for student registration built with Laravel.
A mobile note-taking application developed using Android Studio.
An online bookstore web application built with .NET Core.
Problem Solving
Solved more than 1,000 analytical problems across various platforms
Solved more than 700 problems
Max rank: Pupil (1243)
Solved more than 180 problems
Solved more than 100 problems
Solved more than 30 problems
Solved more than 30 problems
Solved more than 20 problems
Publications
Authors: MD. Tahidul Islam, Md Abdur Rahim, Abu Saleh Musa Miah, Md. Imran Hossain, Md. Shafiul Azam
Authors: MD. Tahidul Islam, Md Abu Johab, Md Roton Ahmed, Nakib Aman
The CATBOOST Classifier-based Sadhu and Cholit Bangla Classification aims to leverage machine learning techniques for classifying different styles of Bangla language, specifically distinguishing between Sadhu (formal) and Cholit (informal) forms. Using the CATBOOST classifier, known for its efficiency in handling categorical data, the project builds a model to accurately categorize Bangla text.
Certificates
ICPC 2022 Participant Certificate
ICPC 2023 Participant Certificate
PUST Programming Contest Certificate
IEEE Programming Contest Certificate
IEEE Idea Contest Certificate
PUST Inter Department Contest Certificate
AI Workshop Certificate
Nuclear Energy Workshop Certificate
Achievements
Intra University Programming Contest, PUST
Intra University Programming Contest, PUST
Inter University Programming Contest, North Western University
Inter Department Individual Programming Contest, PUST
Onsite (Hosted by DIU) - University Representative
Management & Leadership
This is a non-profitable organization. I was the Founder of this Organization.
An organization focused on sports and physical activities that promotes the physical and mental well-being of individuals through various games and sports.
Language Skills
Native Proficiency
Listening: B2
Reading: B1
Writing: C1
Speaking: B1