Soumya Nanda
Open Source Contributor at KIIT E-CELL
Odisha, India
Summary
👤
Senior🎓
Top SchoolSoumya Nanda is an ambitious Computer Science undergraduate at KIIT University and an active open-source contributor with practical experience in web development and ML dataset engineering. Already contributing to prominent projects like tensorflow/datasets—where they implemented the HAM10000 dermatoscopic image dataset and integrated Binary AlphaDigits—Soumya blends hands-on coding with a budding research mindset. They have held R&D and internship roles at KIIT E-CELL and participated in programs like GirlScript Summer of Code and HPAIR, demonstrating both technical curiosity and cross-disciplinary engagement. Known for creative problem-solving and persistence, Soumya favors tackling debugging and data-preparation challenges that improve real-world ML workflows. Based in Odisha, India, they’re focused on growing as a developer through collaboration, applied projects, and continuous learning.
10 years of coding experience
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at KIIT - Kalinga Institute of Industrial Technology10th Secondary, Mathematics and Computer Science, 10th Secondary, Mathematics and Computer Science at The Orchid School12th Senior Secondary, Mathematics and Computer Science, 12th Senior Secondary, Mathematics and Computer Science at Rahul International school
Github Skills (11)
machine-learning10
tensorflow10
python10
image-processing10
image9
data-science9
user-data9
data-model9
data-set9
datasets9
computer-vision9
Programming languages (7)
Github contributions (5)
tensorflow/datasets
Mar 2019 - Apr 2019
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Role in this project:
Data Scientist & ML Engineer
Data Scientist & ML EngineerContributions:127 commits, 15 PRs, 94 comments in 1 month
Contributions summary:Soumya's primary contribution involves implementing a new dataset, "HAM10000," for dermatoscopic image analysis within the TensorFlow Datasets project. Their work includes defining dataset information, specifying features, and creating the data generation logic. They addressed initial implementation issues through multiple commits, fixing class names, image shapes, and other dataset parameters to ensure its proper functionality. Furthermore, the user also integrated the "Binary AlphaDigits" dataset, demonstrating an understanding of data loading and preprocessing for image-based machine learning tasks.
datanumpydeep-learningdatasetmachine-learning
SoumyadeepJana/datasets
Mar 2019 - Mar 2019
A collection of datasets ready to use with TensorFlow
Contributions:86 pushes, 6 branches in 17 days
datasetstensorflow
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