Ketki Kinkar
Development
CA, United States
Skills
Data Science
About
Ketki Kinkar's skills align with Programmers (Information and Communication Technology). Ketki Kinkar appears to be an entry-level candidate, with 23 months of experience.
Work Experience
Research Assistant
University of Southern California
June 2023 - Present
- Developing Multimodal model for Breast cancer detection, aiming to achieve model specificity of more than 0.90. Optimizing the harmonization pipeline to highlight tau protein on brain MRI scans, resulting in enhancement of accuracy for AD. Creating Alzheimer's disease detection Model to foresee disease onset 10 to 15 years in advance, with brain MRI scans, clinical data.
Research Fellow
MITWPU
March 2022 - June 2022
- Designed ResNet-based Transfer Learning Model for Knee Abnormality Detection with an accuracy of 88%. Instrumental in achieving a 45% increase in diagnostic speed and 20% enhancement in accurate injury assessment. Surpassed radiologist accuracy by a margin of 15% and achieved a sensitivity of 0.92.
AlgoAnalytics, Data Science Intern
Mask R-CNN
October 2021 - May 2022
- Spearheaded team to create an automated Car damage Detection system with Mask R-CNN for an Insurance Company Client. Achieved 92% accuracy in pixel-level damage segmentation across 10,000+ images; and 82% accuracy in Classification of damage. Streamlined claim assessment, leading to a remarkable 65% reduction in processing time and heightened operational efficiency.
Data Science Intern
Softsensor.ai
May 2021 - November 2021
- Built Germinal Center Cancer Detection MaskRCNN pipeline, achieving 84.8% accuracy; 0.89 specificity in lymphoma detection. Transformed Lymphoma detection, cutting costs from $700 to $10, reducing prediction time by 98% for clients in the US and India. Engineered stain normalization pipeline, ensuring 98% prediction accuracy and consistency across scanners for WSI images. Developed Image Quality analysis pipeline, enhancing downstream accuracy by 15%.
Education
University of Southern California
Master of Science in Applied Data Science
August 2022 - May 2024
