I'm a Data Scientist with a background in biomedical research, now focused on data analysis and machine learning. I transitioned into Data Science, where I enjoy turning real-world data into structured analysis and meaningful insights.

• Python (Pandas, Numpy, Scikit-learn)
• Data cleaning and exploratory data analysis (EDA)
• Machine Learning (supervised and unsupervised models)
• Data visualization (Matplotlib, Seaborn, Streamlit)
• Reproducible workflows (Jupyter Notebook, Git and Github)

• Data Science projects developed during my training and personal practice
• Work with real datasets and exploratory analysis
• Experiments with machine learning models and data visualization
• Emphasis on understanding data and documenting the analysis process

• Consolidating my Data Science skills through hands-on projects
• Building a focused and honest portfolio
• Open to collaborating on Data Science and data analysis projects

Find me on Linkedin