Data Science & AI Trainer

Roles & Responsibilities

• Collect, clean, and preprocess structured and unstructured data.
• Perform exploratory data analysis (EDA) using Python.
• Create visualizations and dashboards to identify trends and insights.
• Build and evaluate machine learning models.
• Work with datasets using Pandas, NumPy, and Scikit-learn.
• Generate reports and present findings to mentors.
• Participate in real-world data science projects.
• Collaborate with team members on data-driven solutions.

Preferred Candidate Profile

• Basic knowledge of Python programming.
• Understanding of statistics and mathematics fundamentals.
• Familiarity with Excel and data visualization concepts.
• Strong analytical and problem-solving skills.
• Willingness to learn machine learning techniques.
• Good communication and teamwork abilities.