Enthusiastic and recently graduated with a Bachelor's degree in Information Technology and a Master of Science in Information Technology, I am actively seeking opportunities as a Junior Data Scientist. Armed with a strong academic background, I bring a solid foundation in technology and a keen interest in leveraging data science techniques to extract meaningful insights. Throughout my education, I have honed my skills in areas such as machine learning, data analysis, and programming, with additional proficiency in mathematics, statistics, algebra, and probabilities. This comprehensive skill set, coupled with a passion for data-driven decision-making, positions me as a well-rounded candidate eager to contribute to impactful and innovative data science projects in a professional setting. I am poised to embrace the challenges of a Junior Data Scientist role and make meaningful contributions to your team.
Led a groundbreaking project on on the automatic segmentation of coronary arteries through deep learning. I methodically preprocessed images, conducted model training, and implemented optimization strategies. Employed sophisticated methodologies, integrating traditional machine learning vessel enhancement filters as an innovative technique to augment segmentation accuracy.
Deep learning, Machine learning , Computer vision, Data preprocessing, Filtrage des vaisseaux.
I Instructed a specialized course on multimedia database systems, covering essential techniques in three-tier architecture implementation, database design, and multimedia integration. Guided students through hands-on projects, emphasizing skills in database creation, data importation, and the development of multimedia query software. Advanced topics included content-based search and multimedia content synchronization, showcasing expertise in cutting-edge technologies within the realm of database systems.
Multimedia Database Modeling,Multimedia Database Creation,Interrogation and manipulation,Content-Based Search and Classification,Multimedia Synchronization.
Image-based approach for context aware emotion recognition using computer vision and deep learning methods.
During my internship, I spearheaded a project centered on an image-based approach for context-aware emotion recognition, employing computer vision and deep learning methodologies. My responsibilities encompassed the meticulous preparation of a comprehensive database tailored to the nuances of context-aware emotion recognition. Subsequently, I led the training phase, leveraging state-of-the-art deep learning models to capture and understand complex emotional cues embedded within the visual data. This hands-on experience allowed me to fine-tune models, optimizing their performance for nuanced emotion analysis.
Machine learning,deep learning,, databasee, computer vision, data preprocessing.
Human action detection in video surveillance using computer vision and deep learning.
During my internship, I played a crucial role in a project focused on human action detection in video surveillance, utilizing computer vision and deep learning methodologies. Working with existing datasets, my responsibilities included refining and adapting these datasets to suit the specific nuances of human action patterns in video footage. I took a hands-on approach in training advanced deep learning models to accurately identify and classify diverse human actions within surveillance videos. This process involved rigorous fine-tuning and optimization of models to ensure their efficacy in discerning subtle variations in human activities.
Machine learning, deep learning, computer vision, data preprocessing.
Implementation of online chatbot for academic information.
During my internship, I undertook the development and implementation of an online chatbot tailored for academic information dissemination. In this role, I designed and engineered the chatbot system to effectively address academic inquiries, creating a user-friendly interface that catered to the diverse needs of students and faculty. This involved integrating natural language processing algorithms and machine learning techniques to enhance the chatbot's ability to understand and respond contextually to user queries.
Machine learning, deep learning, natural language processing.
Initialization to professional life.
During my "Initialization to Professional Life" internship, I engaged in a transformative experience that provided me with invaluable insights into the dynamics of the professional world. This stage served as a foundational step in my career journey, allowing me to immerse myself in a real-world work environment. I had the opportunity to observe and participate in various aspects of professional life, gaining hands-on experience in tasks ranging from workplace communication and collaboration to project management. This internship equipped me with essential skills and knowledge, fostering my adaptability and enhancing my understanding of professional expectations.
Communication Skills,Teamwork and Collaboration, Adaptability,Time Management,Professionalism, and Networking.
Software Development:
UML (Unified Modeling Language),C,C,HTML,CSS,PHP,JavaScript
Soft Skills: