Data Science
During my data science internship, I honed my skills in Python by working on real-world datasets and delivering actionable insights. My key responsibilities included data cleaning, preprocessing, exploratory data analysis (EDA). I worked with libraries like Pandas, NumPy, Matplotlib, and Scikit-learn to create efficient data pipelines and improve model performance. This experience has deepened my understanding of statistical analysis, data visualization, and predictive modeling, preparing me to tackle diverse data-driven challenges.