Education
B.Sc in Computer Science and Engineering
Daffodil International University (2021β2025)
CGPA: 3.45/4.00
Data Analyst & Machine Learning Researcher
Currently interning at Dream 71 Bangladesh Limited, specializing in machine learning, data visualization, and explainable AI with published research in medical data analysis.
Passionate data analyst with expertise in machine learning and a strong research background
I'm a dedicated Data Analyst currently pursuing my B.Sc in Computer Science and Engineering at Daffodil International University with a CGPA of 3.45/4.00. My passion lies in transforming complex data into actionable insights through machine learning and statistical analysis.
My research focuses on healthcare applications of AI, particularly in medical diagnosis and explainable AI. I've published research on cervical cancer detection using machine learning and contributed to openβsource datasets for the research community.
Currently interning at Dream 71 Bangladesh Limited, I'm gaining handsβon experience in realβworld data analysis while continuing to develop my skills in Python, SQL, and various ML frameworks.
B.Sc in Computer Science and Engineering
Daffodil International University (2021β2025)
CGPA: 3.45/4.00
Data Analyst Intern
Dream 71 Bangladesh Limited
July 2025 β Present
Mirpurβ1, Dhaka, Bangladesh
Available for remote work
Comprehensive technical skills in data analysis, machine learning, and research
Research contributions in machine learning, healthcare AI, and computer vision
Developed a feature-selected ML model to classify the risk of cervical cancer from medical data. Applied scikit-learn and SHAP for model development and explainability.
Collected and labeled tree leaf images to support deep learning classification research. Comprehensive dataset for computer vision applications.
Showcasing technical projects and leadership experience in data science and web development
Developed a web application that helps students find tutors based on their location and subject input. Features include location-based search, subject filtering, and tutor profiles.
Machine learning model for early detection of cervical cancer using medical data. Implemented feature selection techniques and explainable AI for medical professionals.
Deep learning system for automated tree species identification through leaf image analysis. Created comprehensive dataset and implemented CNN-based classification.
Problem-solving approach
Academic & industry research
Technical documentation
Project coordination
Coordinated and managed the club's communications and public relations efforts.
Feel free to reach out for collaborations or just a friendly hello π