Hi, I'm Sadia Islam

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.


2+
Publications
3.45
CGPA
5+
ML Projects

About Me

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 open‑source datasets for the research community.

Currently interning at Dream 71 Bangladesh Limited, I'm gaining hands‑on experience in real‑world data analysis while continuing to develop my skills in Python, SQL, and various ML frameworks.

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Education

B.Sc in Computer Science and Engineering

Daffodil International University (2021–2025)

CGPA: 3.45/4.00

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Current Role

Data Analyst Intern

Dream 71 Bangladesh Limited

July 2025 β€” Present

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Location

Mirpur‑1, Dhaka, Bangladesh

Available for remote work

Skills & Expertise

Comprehensive technical skills in data analysis, machine learning, and research

πŸ’» Programming Languages

Python90%
SQL85%
LaTeX75%

πŸ€– AI/ML & Data Science

Machine Learning88%
Deep Learning82%
NLP78%
Explainable AI85%

πŸ“š Frameworks & Libraries

Scikit-learn90%
TensorFlow85%
PyTorch80%
Pandas92%

πŸ“Š Data Analysis & Visualization

Data Cleaning95%
Statistical Analysis88%
Power BI85%
Tableau80%

πŸ› οΈ Tools & Platforms

Jupyter Notebook95%
GitHub88%
VS Code90%
Microsoft Office92%

🌐 Languages

Bengali (Native)100%
English (Fluent)90%

Publications

Research contributions in machine learning, healthcare AI, and computer vision

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A Precise Machine Learning Model: Detecting Cervical Cancer Using Feature Selection and Explainable AI

Journal of Pathology Informatics β€’ September 2024

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.

Machine LearningHealthcareExplainable AIFeature Selection
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Tree Leaf Classification Dataset

Mendeley Data β€’ December 2024

Collected and labeled tree leaf images to support deep learning classification research. Comprehensive dataset for computer vision applications.

Computer VisionDeep LearningDatasetClassification

Projects & Experience

Showcasing technical projects and leadership experience in data science and web development

🌐

Online Tutorial Finder

Web Application

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.

Key Features:
  • Location-based tutor search
  • Subject-specific filtering
  • User-friendly interface
  • Database-driven architecture
MySQLPHPHTML/CSSJavaScript
🧬

Cervical Cancer Detection Model

Research Project

Machine learning model for early detection of cervical cancer using medical data. Implemented feature selection techniques and explainable AI for medical professionals.

Key Features:
  • Feature selection optimization
  • Explainable AI implementation
  • Medical data preprocessing
  • Model interpretability
PythonScikit-learnSHAPPandasNumPy
🌳

Tree Leaf Classification System

Deep Learning Project

Deep learning system for automated tree species identification through leaf image analysis. Created comprehensive dataset and implemented CNN-based classification.

Key Features:
  • Image preprocessing pipeline
  • CNN architecture design
  • Dataset creation and labeling
  • Species classification accuracy
PythonTensorFlowOpenCVKerasComputer Vision
Additional Competencies

Critical Thinking

Problem-solving approach

Research

Academic & industry research

Communication

Technical documentation

Time Management

Project coordination

Leadership & Volunteering

πŸ§‘β€πŸ’Ό

Press Secretary - Cyber Security Club, DIU

August 2023 – March 2024

Coordinated and managed the club's communications and public relations efforts.

Key Responsibilities:
  • Organized and promoted cybersecurity events and workshops
  • Prepared press releases and promotional materials
  • Managed club communications and newsletters
  • Coordinated with speakers and industry professionals

Get In Touch

Feel free to reach out for collaborations or just a friendly hello πŸ‘‹

Contact Information

  • βœ‰οΈ
    Email
    sadia15-3980@diu.edu.bd
  • πŸ“ž
    Phone
    +880 1830358630
  • πŸ“
    Location
    Mirpur-1, Dhaka, Bangladesh

Connect With Me

  • πŸ”—
    LinkedIn
    @sadiaislamcse
    Connect
  • πŸ’»
    GitHub
    @sadiaislamcse
    Connect

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