I am an electrical engineer focused on data science and its application in electrical engineering. My greatest contributions are in data analysis, machine learning, and optimization techniques. I leverage data to make informed decisions in collaborations and projects. I also have a solid background in electrical power systems and synchronous machine simulations.
- Data Analysis on Mental Health in Tech: Research and analysis of survey results, identifying trends and patterns.
- Energy Demand Prediction: Development of prediction models using machine learning and statistical analysis.
- Study of Stability in Electrical Systems: Research on stability using non-linear models, evaluating key parameters.
- Synchronous Machine Simulations: Analysis and simulation using Python, solving differential equations and visualizing results.
- Languages: Python, MATLAB, SQL
- Libraries: NumPy, SciPy, Matplotlib, Plotly, Pandas, Seaborn
- Tools: Jupyter, Google Colab, Visual Studio Code
I am interested in data science, machine learning, programming, and power optimization.
I am currently learning data science techniques and applying them to various projects, including mental health analysis and energy forecasting.
I am looking to collaborate on projects involving data science, machine learning, and electrical engineering.
I enjoy solving puzzles and learning about new technologies in my free time.
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