Data Science Trainer

Role & responsibilities

• Deliver training on

  Data Analytics, Data Science, AI, ML, NLP, Python, SQL, Excel, Power BI, Tableau, Generative AI

  , and related tools.
• Prepare and regularly update training materials, assignments, datasets, and industry-relevant projects.
• Assign and guide real-time

  Data Analytics and AI/ML projects

  , ensuring proper Git/GitHub submission.
• Conduct regular

  theory, practical, and viva assessments

  to evaluate student progress.
• Conduct technical mock interviews and provide

  resume guidance

  for Data Science and Data Analytics roles.
• Mentor students in

  data analysis, data visualization, machine learning, and model building

  .
• Ensure hands-on learning through real-world datasets, practical exercises, and industry-based case studies.
• Support placement readiness by guiding students in

  portfolio development and project presentation

  .
• Participate in seminars, technical demo sessions, workshops, and promotional activities.
• Stay updated with the latest

  Data Science, AI/ML, Generative AI, and Analytics trends

  .
• Maintain discipline, punctuality, and a positive professional learning environment.

Preferred candidate profile

Experience:

Skills:

• Strong knowledge of

  Python, SQL, and Excel

• Good hands-on experience with

  Power BI / Tableau

• Strong understanding of

  Statistics and Machine Learning

• Practical experience in

  Data Analysis and Data Visualization

• Knowledge of

  AI, NLP, and Generative AI

  will be an added advantage
• Strong training, communication, and mentoring skills
• Ability to guide students on

  real-world datasets, case studies, and projects

Education:

Expertise: