Consistently demonstrating abilities for innovation and creative problem-solving. Adept at motivating self and others. Passionate about machine learning and data science for future technologies.
Instructed the Compilers and Languages course to 28 students as a lecturer/professor, accommodating all students in a hybrid setting.
Authored Exploring Machine Learning Techniques for Fall Risk Prediction using the Berg Balance Scale, focusing on the clinical assessment test, the Berg Balance Scale (BBS). Employed various machine learning models to determine the feasibility of BBS subsets in real-world scenarios.
Co-developed Money Trail CRM—a console-based client relationship management system in C++, following the model-view-controller design pattern. Developed over five months using the agile unified process.
Graduate Academic Honor, Degree Verification Link
Visual Studio, Eclipse, Android Studio, Terminal, Git, Microsoft Office, Photoshop, Linux, Windows, Anaconda, Jupyter Notebook, Selenium WebDriver, Docker, Tailscale.
C++, C, C#, Java, Python, HTML, CSS, JavaScript, Dart, x86 Assembly, LaTeX, GLSL, Bash.
Android, Flutter, Bootstrap.
Problem Solving, Cross-Functional Team, Adaptability, Flexibility, Time Management, Communication, Leadership
C++, Tensorflow, Keras, Pandas, NumPy