Data Analysis of Burberry-Received PPI offer - Led Burberry's dataset, employed feature engineering & diverse algorithms, used OneHotEncoders, Column Transformer - Performed extensive hyperparameter tuning, integrated pipelines & achieved tremendous 83% accurate fashion trend - Deployed on AWS Elastic Beanstalk with integrated CI/CD pipelines, replicated on Azure Cloud using GitHub Ac

Got Letter of Recommendation-Revamped accuracy to 81% by formulating lesion quantification using computed tomography images to compute volume -Devised algorithm to formulate 3x more efficient model to convert DICOM data to comprehensible jpeg, png & NifTI format -Achieved 42% survival rate, surpassing previous benchmark of 33%, pioneered advanced ML model in surgical procedures

Got Letter of Recommendation - Leveraged DVC-MLOps for pipeline tracking & implementation, created prediction pipeline & userapp for classification - Achieved remarkable threefold increase in accuracy, successfully did CI/CD deployment on both AWS and Azure