Responsibilities of the Intern:

• Collect, clean, and preprocess structured and unstructured data.
• Perform statistical analysis and visualize data trends.
• Develop and deploy machine learning models for business applications.
• Monitor model performance and implement improvements.
• Communicate insights effectively to stakeholders through reports and dashboards.
• Stay updated with the latest trends in data science and AI.

Requirements:

• Strong proficiency in Python, R, or SQL.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Solid understanding of statistics, probability, and data modeling.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Knowledge of big data tools (e.g., Spark, Hadoop) is a plus.
• Strong problem-solving, analytical, and communication skills.