Welcome to my profile! My name is Atikul Islam Sajib, and I am currently an international Computer Science student in Germany, having earned my Bachelor of Science in Computer Science and Engineering (CSE) from the Department of Computer Science and Engineering at United International University (UIU).
I specialize in the fields of Machine Learning Theory and Algorithms, Bioinformatics, and Computer Systems. My passion lies in the construction and innovation of algorithms within the Machine Learning domain, where I aim to develop models that significantly 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 notably increased business efficiency across various industries. My expertise extends to implementing a wide range 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, and XGboost. I excel in clustering, regression, and classification tasks, utilizing my skills to tackle complex business challenges.
I am particularly proficient in Exploratory Data Analysis (EDA) and feature engineering, which allows me to uncover underlying patterns in data and optimize model performance. Throughout my career, I have contributed to over 50 Data Science projects, addressing a variety of business problems through the application of Machine Learning and Deep Learning methodologies such as Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN). My work encompasses domain-specific solutions, and I have extensive experience in deploying models on cloud platforms and edge devices, further demonstrating my commitment to leveraging technology to solve real-world issues.
