• 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.