Trainer - Data Science (Freelance)

• Deliver in-depth training on data science concepts, including statistics, machine learning, and predictive modeling.
• Conduct hands-on sessions using programming languages such as Python and relevant libraries.
• Teach data cleaning, preprocessing, feature engineering, and model evaluation techniques.
• Use real-world datasets to provide practical exposure and enhance learning outcomes.
• Guide learners in developing end-to-end data science projects.
• Evaluate assignments, coding exercises, and project submissions.
• Provide mentorship on building portfolios and preparing for data science roles.
• Stay updated with the latest tools, frameworks, and advancements in data science.
• Simplify complex algorithms and concepts for better learner understanding.
• Share industry use cases and applications across domains.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• 3–6 years of hands-on experience in data science or analytics roles.
• Strong proficiency in Python, machine learning libraries, and data handling tools.
• Experience with tools such as Pandas, NumPy, Scikit-learn, TensorFlow, or similar.
• Prior experience in training, teaching, or mentoring professionals.
• Strong analytical and logical thinking capabilities.
• Ability to break down complex concepts into simple explanations.
• Hands-on experience in real-world data science projects.
• Good communication and presentation skills.
• Availability for freelance training engagements.