I am an aspiring Machine Learning Engineer with hands-on experience building predictive models, data pipelines, and data-driven solutions. I am seeking an entry-level Machine Learning or Data Science role where I can apply and strengthen my technical skills on real-world problems.
I am currently pursuing an MSc in Computer Science and Engineering at Jagannath University and hold a BSc in Computer Science and Engineering from Daffodil International University. My academic background has provided me with a strong foundation in programming, machine learning, research, and quantitative analysis.
As a remote Machine Learning Intern at FlyRank AI, I design and implement machine learning pipelines, preprocess complex datasets, perform exploratory data analysis, engineer features, and tune models to improve predictive performance and reduce overfitting.
I have developed projects involving CTR and engagement opportunity scoring, water-quality prediction, and a web-based e-medical solution. My model development experience includes Gradient Boosting, Random Forest, Support Vector Machines, and Linear Regression.
I am also an IEEE-published researcher with work related to blockchain-based education systems and CNN and transfer learning modeling for jujube spices recognition. I enjoy combining academic research with practical machine learning development.
I am comfortable with Python, C, C++, web technologies, MySQL, Git, GitHub, Excel, and Microsoft Office. I am motivated to learn, collaborate with development teams, and contribute to reliable, deployable machine learning solutions.
