Skip to content
View MadhuSaran26's full-sized avatar

Highlights

  • Pro

Block or report MadhuSaran26

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
MadhuSaran26/README.md

Readme gif

๐Ÿš€ I'm Madhumitha, a Computer Science Master's candidate at Arizona State University set to graduate in May 2024, specializing in Computer Vision and Deep Learning. My passion lies in pushing the boundaries of AI and data science.

๐Ÿ”ฌ With a strong foundation in designing object detection and tracking models, I've contributed to firearm and suspicious aircraft detection projects at Teuvonet. At Siemens, I enhanced anomaly and object detection using foundational models.

๐Ÿ“Š In my corporate career, I designed machine learning backed product launch models, forecasting drug placement in evolving therapies, consumer response analysis through text mining and so on for pharmaceuticals, thus boosting success rates significantly. As a data scientist, I led teams, managed tight deadlines, and contributed to business development through research POCs and project pitches.

๐ŸŒŸ As a first-generation graduate student, I'm proactive in learning and committed to advancing technology. I'm currently seeking full-time roles starting in May 2024 as a Machine Learning Engineer, Deep Learning Engineer, Computer Vision Engineer, Data Scientist, or Applied Scientist.

Pinned Loading

  1. BenchmarkTransformers BenchmarkTransformers Public

    Forked from jlianglab/BenchmarkTransformers

    Expanding the benchmarking to CT Pulmonary Embolism Analysis

    Python

  2. BiomedicalImageAnalysis BiomedicalImageAnalysis Public

    This repository contains the notebook used in the analysis of Chest X-ray datasets, and the polyp segmentation of ASU Mayo Clinic dataset.

    Jupyter Notebook

  3. CSE546-ImageClassification CSE546-ImageClassification Public

    Forked from diya17/CSE546-ImageClassification

    Python

  4. CSE546-FaceRecognition CSE546-FaceRecognition Public

    Forked from nehavadnere/cse546-project-lambda

    Python 1

  5. CSE546-HybridCloudForFaceRecognition CSE546-HybridCloudForFaceRecognition Public

    Python

  6. U-Mamba U-Mamba Public

    Forked from bowang-lab/U-Mamba

    U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

    Python