Data analyst | Full-Stack Developer | UX/UI Design
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As a Data Analyst – Summer Internship, with my foundational knowledge of AI, estimated at the level of an AI Research Assistant, I fully understand activation within nodes used in training machine learning models, such as linear regression, logistic regression, and neural network, in order to conduct basic and applied research on relevant open problems in AI by mainly using libraries such as scikit-learn (including OneHotEncoder, Pipeline, and GridSearchCV), imbalanced-learn (SMOTE), NumPy, Pandas, Matplotlib, Seaborn, Joblib, Flask, CSV. I have experience in developing and debugging Python, which contributes to my understanding of machine learning. Regarding my interested skills in web design.
I deeply comprehend the connection between the frontend and backend as a full-stack developer, including the database, through to the deployment process. I have trained Oracle Database as a DBA by creating and managing the data orderly. In addition, the attached resume includes more information about my skills and experience.
Working as a team, I actively use GitHub to practice working in Agile and Kanban methodologies for software development. I am also able to work alongside a cross-functional team of designers, program managers, researchers, legal experts, and more to create new capabilities to enhance upcoming products.
Software Engineering Technology - Artificial Intelligence (Co-op) Advanced Diploma at Centennial College, Toronto, ON, Canada
Jan. 2024 - Present
GPA: 4.242/4.5
AI Foundations MongoDB and Full-Stack Web DevelopmentDatabase Concepts (SQL)C# Programming Software Requirements engineeringLinux/Unix OSJava programmingSupervised and Unsupervised LearningSoftware System Design
