- 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, Num Py, Scikit-learn, Tensor Flow, or similar.

- Prior experience in training, teaching, or mentoring professionals.

- Solid 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.

Originally posted on Himalayas

📌 Trainer - Data Science (Freelance) (India)
🏢 Blue Ocean Corporation India
📍 India