Data Analyst
Current•Conducted exploratory data analysis on a real-world dataset using Python and its libraries, such as Pandas, Numpy, and Matplotlib.•Cleaned and transformed data using various techniques, including missing value imputation, data scaling, and feature engineering.•Developed and implemented predictive models, including regression and classification models, using scikit-learn and other machine learning libraries.•Created data visualizations using Tableau to effectively communicate insights to non-technical stakeholders.•Collaborated with a team of data analysts and data scientists to contribute to the development of a machine learning project.