- Produced a dataset of complex snowflake SQL queries for AI training, identifying model improvement opportunities.- Performed Exploratory Data Analysis on several different datasets leading to the creation of relevant business questions.- Worked in a global environment, being able to communicate with people all across the world.

- Structured and automated an ML pipeline utilizing Metaflow, AWS SageMaker, and PyTorch for image classification. Achieved a 10% improvement in model metrics and a 60% reduction in training time.- Transformed manual day-long operations into an automated process with a real-time large-scale serverless architecture. Utilized Terraform, AWS, and SQL, enabling the processing of millions of records in almost real-time.- Trained and deployed an OCR model with YOLO, DVC, Docker, and TesseractOCR, achieving a 10x faster inference time compared to the previous model.- Developed BI visuals using Looker Studio and BigQuery to identify model drifting. Conducted comparisons between production models in client data and their performance in random data.- Created an error forecasting model utilizing a combination of statistical and ML models, including LSTM.- Conducted a comprehensive evaluation to assert the absence of sexual or ethnic bias in the company's face detection software.

- Contributed to the Insurtech Innovation Program with a focus on fostering innovation and transforming the insurance and reinsurance market through the development of new products, processes, and services based on technology.- Collaborated within diverse teams to conceptualize, develop, and present Minimum Viable Products (MVPs) utilizing design thinking methodologies.- Applied a variety of technologies, including blockchain, machine learning, chatbots, and web development, to bring innovative solutions to fruition.