Key Responsibilities:

• Collect, clean, and preprocess data from various sources to prepare datasets for analysis.
• Conduct exploratory data analysis (EDA) and generate meaningful insights.
• Assist in building, testing, and deploying machine learning models.
• Stay updated with the latest advancements in data science and machine learning.

Requirements:

• Strong analytical and problem-solving skills.
• Recently completed a degree in Data Science, Computer Science, Statistics, or a related field.
• Proficiency in Python, R, or other programming languages commonly used in data science.
• Must have worked on projects having machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Knowledge of SQL and experience working with databases.
• Effective communication skills and ability to work in a team.