Python programming

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

Data analysis and visualization (Pandas, NumPy, Matplotlib, Seaborn)

SQL and database management

Deep Learning and Neural Networks

Natural Language Processing (NLP)

Computer Vision

Model evaluation and validation techniques

Git and version control

Linux/Unix command line

Jupyter Notebooks and IPython

Statistical analysis and probability

Strong communication and collaboration abilities

Problem-solving and analytical thinking

Attention to detail and quality-oriented mindset

Self-motivated and eager to learn

Ability to work in fast-paced environments

Time management and organizational skills

Adaptability and flexibility

Team player mentality

Critical thinking and logical reasoning

Documentation and knowledge sharing abilities