Description
- Collaborated with data engineers and software engineers to solve business use cases using computer vision techniques, Designed and Implemented Vision Transformer models using deep learning frameworks such as Keras, PyTorch and Google Vertex AI, optimized model performance using techniques such as transfer learning and fine-tuning.
- Designed robust MLOps infrastructure using MLflow to build efficient ML pipelines, resulting into reduction in manual training time.
- Created clear and concise reports, dashboards and visualizations using Tableau and BI to effectively communicate findings to stakeholders. Developed automated reporting system to streamline data analysis and reporting process.
- Worked on statistical analysis, leveraging advanced techniques such as hypothesis testing, regression modeling, and predictive analytics to derive actionable insights and drive data-informed decision-making processes for the product.
