My name is Jennifer Nguyen and I am currently an undergraduate student as a Computer Science major at the University of Houston. I am passionate about both software engineering and data analysis, as shown in the projects I have done.
In collaborative environments, I have proven my leadership capabilities by guiding teams through the development of project solutions. For instance, I led a team of five in implementing NLP pipelines and developing interpretable models using SHAP values to identify key business performance drivers. Additionally, I led the development of a Full-Stack Web Volunteering App, where I managed a team of four using Agile methodologies to deliver a comprehensive solution integrating React, JavaScript, and PostgreSQL.
My technical versatility extends across multiple programming languages (Python, C/C++, Java, JavaScript, HTML, CSS), frameworks (React, Node.js, Express.js, Flask), and developer tools (Git, Visual Studio, Jupyter). I have also acquired specialized expertise in machine learning libraries such as scikit-learn, TensorFlow, and NLTK through projects analyzing COVID-19 response patterns and implementing predictive analytics.
My name is Jennifer Nguyen and I am currently an undergraduate student as a Computer Science major at the University of Houston. I am passionate about both software engineering and data analysis, as shown in the projects I have done.
In collaborative environments, I have proven my leadership capabilities by guiding teams through the development of project solutions. For instance, I led a team of five in implementing NLP pipelines and developing interpretable models using SHAP values to identify key business performance drivers. Additionally, I led the development of a Full-Stack Web Volunteering App, where I managed a team of four using Agile methodologies to deliver a comprehensive solution integrating React, JavaScript, and PostgreSQL.
My technical versatility extends across multiple programming languages (Python, C/C++, Java, JavaScript, HTML, CSS), frameworks (React, Node.js, Express.js, Flask), and developer tools (Git, Visual Studio, Jupyter). I have also acquired specialized expertise in machine learning libraries such as scikit-learn, TensorFlow, and NLTK through projects analyzing COVID-19 response patterns and implementing predictive analytics.