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data scientists, engineers, and business stakeholders to understand project requirements and translate them into technical solutions. Utilise Python libraries and frameworks such as NumPy, Pandas, SciPy, and scikit-learn to perform data manipulation, statistical analysis, and machine learning tasks. Optimise code for performance, scalability, and maintainability, ensuring adherence to coding more »

performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and more »