ML/AI & Data Analytics Tutor

Deliver a hands-on 10-day training program on AI, Machine Learning, and Data Analytics with practical labs, case studies, and a capstone project, emphasizing real-world applications in data-driven industries like Oil and Gas.

Deliver daily sessions on AI fundamentals, data analytics, machine learning, and applied AI use cases

Teach data lifecycle, data cleaning, and visualization using Python libraries (NumPy, Pandas, Matplotlib, Seaborn, Plotly)

Introduce supervised and unsupervised learning, ML workflows, feature engineering, and model evaluation

Train on time series analysis, forecasting models (ARIMA, Prophet), and advanced ML/deep learning techniques

Conduct practical labs in TensorFlow or Keras, computer vision, and text analytics

Supervise and assess capstone projects

Provide career guidance and support to learners

Strong proficiency in Python for data analysis and machine learning

Hands-on experience with NumPy, Pandas, scikit-learn, Matplotlib, Seaborn, Plotly, TensorFlow or Keras

Solid understanding of ML concepts including regression, classification, ensemble methods, and neural networks

Experience with time series data analysis and forecasting models

Ability to explain technical concepts clearly to beginners/intermediate learners

Prior teaching, tutoring, or facilitation experience is desirable

Industry experience in data-driven sectors is an advantage

Preferred Attributes:

Strong presentation and classroom management skills

Experience delivering hands-on, project-based learning

Ability to adapt teaching style to diverse learner backgrounds

Passion for applied AI and real-world problem solving

*Send CV highlighting relevant teaching experience, technical expertise, and completed AI/ML/Data Analytics projects.

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