Develop and implement data science models and algorithms using Python. Work with large datasets to perform data cleaning, data manipulation, and statistical analysis. Build and deploy machine learning models to solve real-world business problems. Collaborate with cross-functional teams to design and optimize data pipelines. Visualize data insights using tools such as Matplotlib, Seaborn, or Plotly. Stay updated with the latest trends in data science and machine learning.