Python (expert level)

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

Deep Learning and Neural Networks

Natural Language Processing (NLP)

Computer Vision

Data preprocessing and feature engineering

SQL and NoSQL databases

Big Data technologies (Spark, Hadoop)

Cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)

Model evaluation and validation techniques

API development and integration

Docker and containerization

Git and version control

Jupyter Notebooks and data visualization tools

Leadership and team mentoring

Strong communication and presentation abilities

Analytical and critical thinking

Problem-solving and innovation mindset

Collaboration and cross-functional teamwork

Project management and organizational skills

Attention to detail and quality focus

Adaptability and continuous learning orientation

Stakeholder management

Documentation and knowledge sharing