Data Science Tasks: 1. Data extraction using API or beautiful soup. 2. Data manipulation, cleaning and removing redundant data using pandas and NumPy. 3. Data visualization efficiently using matplotlib, seaborn, plotly, dash and power bi. 4. Data Modeling using supervised and unsupervised Machine Learning approach, utilizing scikit-learn and different libraries. 5. Web Deployment using Flask, dash on AWS, GCP, utilizing git, dockers or anything demanded.