Mariam E.

As a data scientist, I am passionate about extracting valuable insights from complex datasets to solve real-world problems. My skill set spans across data cleaning, statistical analysis, machine learning, and data visualization, enabling me to work with a variety of data types and sources. I am proficient in Python, using libraries such as Pandas, NumPy, and Scikit-learn to build robust models and analyze data.

I have a strong foundation in SQL for database management and querying, and I am experienced in working with data visualization tools like Matplotlib and Seaborn to communicate insights effectively. My expertise includes developing predictive models, performing exploratory data analysis (EDA), and delivering actionable insights that inform business decisions.

I thrive in collaborative environments where data-driven decision-making is key, and I’m always eager to learn new techniques and tools to keep up with the rapidly evolving field of data science. Whether it’s working with big data, applying machine learning algorithms, or creating clear visual representations, I am driven by the ability to turn data into meaningful stories that drive impact.