Isha Agrawal Email & Phone Number

Netherlands

Netherlands

Utrecht, Netherlands

• Predicting network stability and connection quality for improved customer experience using Python, Pyspark, SQL• Deploying (CI/CD), monitoring models to reduce churn rate and optimize sales using Git, AWS in an Agile manner• Communicating with business units to pitch ideas, discuss progress direction, and present solutions

Tokyo, Japan

• Developed convolutional neural networks to map neuroimages across modalities to minimize exposure to radiations using Python and PyTorch• Created graphs from MRI scans using FreeSurfeer, Brain Atlas, and image morphology for graph neural networks.• Created image registration and co-registration pipelines for the AI research team to analyse images using Nipype

India

• Applied Natural Language Processing for text summarization and similarity analysis• Used standard libraries like NLTK, SpaCy, Gensim, TextBlob

Canada

• Studied cancer classification and localization of region of interest in cancer positive images• Surveyed weakly supervised and active learning approaches to train image-level annotations and gradually incorporate pixel-level annotated images using Python and PyTorch

India

• Developed a shallow convolutional neural network architecture to denoise images. Improved state-of-the-art runtime by 6.6%• Analysed pixel level changes in data to propose equation for image denoising. Outperformed conventional as well as deep-learning state-of-the-art models in image clarity by 6.1%• Developed algorithm to enhance low-light images based on Retinex theory. Surpassed conventional and deep-learning state-of-the-art models by 7.3%• Developed animal identification model for wildlife monitoring and protection in forest reserves using YOLO• Presented and published findings in conferences and journals

Master Of Science - Ms, Computer Science- Bioinformatics, Artificial Intelligence Specialization, 8.17/10

Thesis- Reference-free biomarker mining in metagenomic data using language embedding Relevant modules- 1. Multivariate Data Analysis 2..

Bachelor Of Technology - Btech, Computer Science And Engineering, 8.4/10

Thesis- Deep learning approaches for image enhancement Relevant courses- 1. Stochastic Processes 2. Numerical Methods 3. Business.