Driven and enthusiastic high school student with a strong passion for mathematics, programming, and machine learning. Seeking opportunities to apply analytical and technical skills while expanding knowledge in computational problem-solving and innovative technologies. Committed to continuous learning and contributing to meaningful projects in a collaborative environment.
1. Multilayer Perceptron for Iris Dataset Classification, Developed a neural network using TensorFlow to classify iris flower species based on sepal length, sepal width, petal length, and petal width., Preprocessed and normalized data to improve model accuracy and implemented an MLP architecture with activation functions for efficient classification., Achieved 93.3% accuracy on test data through hyperparameter tuning and model evaluation., Demonstrated strong understanding of machine learning concepts, including data preprocessing, model training, and evaluation., 2. Payment Receipt Generator, Designed and implemented a Python-based application to create professional payment receipts in PDF format using the fpdf library., Automated receipt generation with fields for receipt number, date, customer name, amount, payment method, and transaction description., Improved usability by integrating functionality to download receipts directly in Google Colab environments., Highlighted proficiency in Python programming, report generation, and user-centric software design.
AB Honor Roll, Business Honors Society, French Honors Society