About me

I am deeply passionate software developer specializing in Flutter, Machine Learning, and Python. Eager to contribute to innovative projects and enhance skills through real-time collaboration and learning. I thrive on learning from diverse projects and collaborating with teams to expand my knowledge and expertise.

What i'm doing

  • mobile app icon

    UI UX Design

    I create robust, user-friendly UI UX design for both website and application, ensuring seamless performance and engaging user experiences.

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    Data Science

    I deliver advanced Data Science solutions, using machine learning to provide actionable insights and solve complex problems.

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    Machine Learning

    I develop predictive and classification models to optimize processes and improve efficiency through intelligent data processing.

  • Web development icon

    Web development

    I offer top-notch web development services using the WordPress framework, ensuring reliable, scalable, and high-performing websites and web applications.

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. Bangladesh University of Business and Technology (BUBT)

    2020 — 2024

    I graduated with a degree in Computer Science and Engineering from BUBT, gaining a solid foundation in software development, data analysis, and system design.

Experience

  1. UI UX Designer | Data Science

    Remote, 2022 — Present

    I work as a remote freelancer on Freelancer.com, specializing in web development and data science. My roles involve creating and maintaining websites, as well as developing data-driven solutions to solve complex problems.

My skills

  • UI UX Design
    80%
  • Machine Learning
    60%
  • Deep Learning
    60%
  • Python
    85%
  • User Experience
    80%

Publication

Publication

  2. (2025) Acute Lymphoblastic Leukemia Diagnosis and Subtype Segmentation in Blood Smears using CNN and U-Net

    DOI: 10.11591/ijeecs.v38.i2.pp950-959 — International Journal of Electrical and Computer Engineering (Scopus Q2)

    Proposed a CNN-based method for classifying ALL and segmenting its subtypes using blood smear images. Achieved 98% test accuracy with DenseNet201 and U-Net.

  3. (2024) Predicting Apartment Rental Prices in Bangladesh: A Machine Learning Approach

    DOI: 10.1109/ICRPSET64863.2024.10955925 — 2024 International Conference on Recent Progresses in Science, Engineering and Technology (ICRPSET)

    Developed ML models to predict apartment rental prices using a dataset of 8,000 listings. Extra Trees Regression achieved the highest performance with 96.57% R² score.

Contact

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