Data Science Internship

Selected intern's day-to-day responsibilities include:

1. Assisting in gathering data from various sources, including databases, APIs, and web scraping
2. Performing exploratory data analysis (EDA) to identify trends, patterns, and outliers
3. Assisting in building predictive models using machine learning algorithms, such as linear regression, decision trees, and clustering
4. Creating data visualizations to communicate findings to the team using tools like Tableau, Power BI, or Python libraries like Matplotlib and Seaborn
5. Documenting code and analyses for future use and knowledge sharing
6. Collaborating with team members, including data scientists, engineers, and analysts, on ongoing projects
7. Staying updated on new data science techniques, tools, and technologies
8. Assisting with the deployment of models or analytical tools into production systems under supervision

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