Passionate about machine learning and software development, I focus on uncovering patterns in complex data and building intelligent solutions. By combining statistical analysis, ML techniques, and strong software engineering skills, I solve real-world problems and drive data-driven decision making
Currently expanding my skills in deep learning and cloud computing while working on projects that demonstrate the power of machine learning and software development in various industries.
Python, C, JavaScript, HTML, CSS
Scikit-learn, TensorFlow
Matplotlib, Seaborn
Jupyter, Git,vscode
Built a machine learning model to predict student career paths using logistic regression and random forest algorithms. Achieved 70% accuracy in identifying at-risk students.
Developed a movie recommendation system using collaborative filtering and content-based filtering techniques. Achieved a 75% accuracy in recommending movies to new users.