Isha Agrawal Email & Phone Number

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.