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atikul-islam-sajib/README.md

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Hi 👋, I'm Atikul Islam Sajib

Welcome to my professional profile!. I am currently advancing my studies in Computer Science as an international student in Germany. I hold a Bachelor of Science degree in Computer Science and Engineering (CSE) from the Department of Computer Science and Engineering at United International University (UIU).

My expertise spans Machine Learning Theory and Algorithms, Bioinformatics, and Computer Systems. I am passionate about developing and innovating algorithms within the Machine Learning domain, striving to enhance algorithmic performance and applicability.

With over four years of experience as a Machine Learning Engineer and Research Assistant, I have a proven track record of developing successful algorithms and predictive models that have significantly improved business efficiency across various industries. My proficiency covers a broad spectrum of Machine Learning and Deep Learning techniques, including but not limited to Logistic Regression, Support Vector Machines (SVM), Decision Trees, Random Forest, Adaboost, Gradient Boosting, XGBoost, and cutting-edge architectures like Generative Adversarial Networks (GAN), Vision Transformers (ViT), Transformers, and GPT developed from scratch using PyTorch.

I excel in clustering, regression, and classification tasks, leveraging my skills to address complex business challenges. My expertise in Exploratory Data Analysis (EDA) and feature engineering allows me to uncover underlying patterns in data and optimize model performance effectively. Throughout my career, I have contributed to over 50 Data Science projects, solving diverse business problems through the application of Machine Learning and Deep Learning methodologies, including Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN).

My technical repertoire also includes practical experience with Docker, MLFlow, and Data Version Control (DVC), which streamline the development, tracking, and deployment of machine learning models. This, coupled with my extensive experience in deploying models on cloud platforms and edge devices, showcases my commitment to leveraging cutting-edge technology to solve real-world issues and drive innovation in the field of Machine Learning.

I am dedicated to continuous learning and staying at the forefront of technological advancements to deliver impactful solutions and drive efficiency in business processes. Thank you for visiting my profile, and I look forward to connecting with professionals and opportunities that align with my expertise and passion.

atikul-islam-sajib

Connect with me:

Atikul Islam Sajib LinkedIn Profile WhatsApp Contact Email

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Languages and Tools:

aws azure docker flask java mysql pandas python pytorch scikit_learn tensorflow

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  1. PyTorch-Intuition PyTorch-Intuition Public

    This repo is dedicated with regards to learning the Framework of PyTorch in Deep Learning domain.

    Jupyter Notebook 1 1

  2. Machine-Learning-Projects Machine-Learning-Projects Public

    Jupyter Notebook 4

  3. Deep-Learning---CNN Deep-Learning---CNN Public

    There is some projects that has been built using CNN

    Jupyter Notebook 3 1

  4. Deep-Learning-Projects---ANN Deep-Learning-Projects---ANN Public

    In there, some important projects built using ML and Deep Learning ANN.

    Jupyter Notebook 3

  5. Deep-Learning---Computer-Vision Deep-Learning---Computer-Vision Public

    There are some projects that built using CNN and OpenCV

    Jupyter Notebook 2

  6. NLP---Natural-Language-Processing NLP---Natural-Language-Processing Public

    Here, some of projects built using ML and Deep Learning

    Jupyter Notebook 2