Stella Gerantoni

Background

About Stella Gerantoni

Soon-to-Graduate Student at SEMFE (School of Applied Mathematical and Physical Sciences) Specializing in Computer Science & Machine Learning As a dedicated and passionate student at SEMFE, I am on the cusp of completing my journey in the realm of Applied Mathematical and Physical Sciences, with a deep focus on Computer Science and Machine Learning. My academic journey has equipped me with a robust foundation in both theoretical and practical aspects of these dynamic fields. Key Highlights: Strong Analytical Skills: Developed through university coursework such as Statistics and Probability, Linear Algebra, Differential Equations etc. Technology Stack: Through Courses and Projects I have gained hands-on-experience with Python and Data Science Libraries such as TensorFlow Keras, Pandas, NumPy, Scikit-learn. Machine Learning Projects: Engaged in several projects, showcasing my ability to apply machine learning algorithms to solve real-world problems such as-Traffic light image recognition using Keras models-Recognizing patterns and neural networks (python) for Neural Networks university course -Thesis: Generate counterfactuals using the latent space of an autoencoder.(Specifics in Education.) Courses: Courses I have attended to gain theoretical and practical knowledge to get me started-Supervised Machine Learning: Regression and Classification (Andrew Ng, 33 hours)-100 days of code: Python course (Angela Yu, 54 hours) Looking Ahead: As I prepare to transition from academia to the professional world, I am eager to apply my knowledge and skills in a challenging and innovative environment. I am particularly interested in opportunities that involve developing intelligent systems, data analysis, and contributing to cutting-edge research in computer science and machine learning.