I am Serena, an undergraduate Computer Engineer interested in Machine Learning and Software Development. My drive and motivation: crafting solutions that bridge technology and real-world challenges.
- Current Focus: Self-studying machine learning concepts and implementing projects to reinforce theoretical knowledge and build a portfolio
- Goals: Transition to a full-time machine learning engineer role.
- Programming Languages: Python, Java, Assembly, C++(basic)
- Data Manipulation & Analysis: NumPy, Pandas
- Data Visualization: Matplotlib, Seaborn
- Machine Learning Frameworks: scikit-learn, xgboost, keras, Tensorflow
- Mathematics: Strong foundation in Linear Algebra, Advanced Calculus, Ordinary and Partial differential equations (ODEs, PDEs), Vector Analysis, Probability & Statistics, Logic Design, and Boolean Algebra
- Tools: Jupyter Notebooks, Visual Studio Code, PyCharm, Apache NetBeans
- Deployment: Streamlit, Flask , Docker
- Databases: MySQL
- Web : HTML, CSS
- Version Control: Git, GitHub
- Additional Skills: Analog Electronics, Analog and Digital Communications Systems, Microwaves, Microprocessors and Microcontrollers, Computer Networks, Routing and Switching
LinkedIn: Serena H.
Email: [email protected]