Nupur Upadhayay

Collaborated with cross-functional teams to gather requirements, analyze data, and develop machine learning models to solve business problems. Utilized Python programming and AWS SageMaker to preprocess data, train machine learning models, and evaluate model performance. Implemented AWS Lambda functions to automate data processing tasks and improve operational efficiency. Managed data storage and retrieval using AWS S3 buckets, ensuring data availability and security. Contributed to the development of scalable and efficient machine learning pipelines, adhering to best practices and industry standards.

Implemented machine learning models to accurately forecast cyclones, contributing to disaster prevention efforts and public safety initiatives. Conducted advanced analytics and quantitative analysis on large datasets using regression, clustering, and classification techniques to predict cyclone intensity. Collaborated closely with project stakeholders to develop statistical models for cyclone forecasting, utilizing Python, MATLAB, ArcGIS, OpenCV, and other tools for data analysis. Employed advanced computer vision techniques to enhance OCR accuracy, including THRESH_BINARY, THRESH_OSTU, and Median Blur, streamlining image manipulation tasks. Contributed to team collaboration using GitHub for version control, ensuring seamless integration of features and continuous improvement of the OCR engine's capabilities.