- Developing and implementing data science workflows to support AI-driven automation solutions
- Utilizing machine learning and deep learning techniques to enhance data analysis and predictive modeling
- Building and maintaining data pipelines and data lakes to facilitate effective data processing and storage
- Applying data engineering skills to optimize data quality and integrity across various platforms
- Leveraging programming languages such as C , R, and MATLAB for complex data analysis and modeling
- Collaborating with cross-functional teams to integrate artificial intelligence and natural language processing into client solutions
- Conducting statistical analysis to inform data-driven decision-making processes
- Troubleshooting data science algorithms and workflows to improve performance and accuracy
- Engaging in continuous learning to stay updated with the latest advancements in data science and AI technologies