1. Data Analysis: - Conduct thorough data analysis to identify patterns, trends, and outliers. - Clean and preprocess raw data for use in machine learning models. - Collaborate with team members to define data analysis goals and objectives. 2. Collaboration and Communication: - Communicate effectively with team members to understand project goals and requirements. - Participate in regular team meetings to provide updates on progress and discuss challenges. - Collaborate with cross-functional teams to ensure alignment with broader project objectives. 3. Documentation: - Document the data analysis process, including methodologies and findings. - Maintain clear and concise documentation for implemented machine learning models. - Create documentation that facilitates knowledge transfer within the team. 4. Project Contribution: - Contribute to the overall success of projects by meeting deadlines and delivering high-quality work. - Provide support to team members as needed and actively participate in collaborative problem-solving. Qualifications: - Strong analytical skills. - Excellent problem-solving and communication skills. - Ability to work collaboratively in a team environment.