Python programming

Machine Learning frameworks (TensorFlow, PyTorch, scikit-learn)

Deep Learning and Neural Networks

Data preprocessing and feature engineering

Statistical analysis and hypothesis testing

SQL and database management

Data visualization (Matplotlib, Seaborn, Plotly)

Git and version control

Jupyter Notebooks and IPython

Model evaluation and validation techniques

API development and integration

Cloud platforms (AWS/GCP/Azure) - preferred

Problem-solving and analytical thinking

Communication and presentation skills

Collaboration and teamwork

Attention to detail

Time management and prioritization

Adaptability and willingness to learn

Critical thinking

Documentation and knowledge sharing

Stakeholder management

Initiative and self-motivation