Isha Shaw
Associate Software Development Engineer 1
Gurugram, Haryana, India
Summary
🤩
Rockstar🎓
Top SchoolIsha Shaw is an Associate Software Development Engineer with six years of experience building scalable batch and streaming data pipelines and machine learning models. Based in Gurugram, she combines data engineering fundamentals with hands-on ML work—her GitHub contributions include developing a traffic sign classification model using OpenCV, Keras, and scikit-learn and saving trained artifacts for reuse. She has moved between roles in startups and enterprises, from junior developer and analyst positions to her current engineering role at Publicis Sapient, demonstrating adaptability across product and data teams. Isha also contributes to open-source ML project collections and has mentored in community programs, reflecting a commitment to knowledge sharing. Known for “telling stories with data,” she pairs technical rigor with clear communication, making complex pipelines and models accessible to stakeholders. Her strong academic record from IIIT Kalyani complements practical experience, enabling rapid prototyping and production-focused solutions.
6 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, 9.02, Bachelor of Technology - BTech, Computer Science, 9.02 at Indian Institute of Information Technology Kalyani
Hindi, English
Github Skills (12)
keras10
computer-vision10
machine-learning10
python10
scikit-learn9
scikit9
data-preprocessing9
deep-learning8
machine-learning-algorithms8
deeplearning-ai8
algorithms7
opencv7
Programming languages (9)
Github contributions (5)
prathimacode-hub/ML-ProjectKart
Jun 2021 - Jul 2021
🙌Kart of 234+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
Role in this project:
ML Engineer
ML EngineerContributions:123 commits, 11 PRs, 25 comments in 24 days
Contributions summary:Isha created two `.ipynb` files: `output.ipynb` and `model.ipynb`, indicating involvement in a machine learning project. The code within these notebooks reveals the implementation of a traffic sign classification model, including the use of libraries like NumPy, OpenCV, Keras, and scikit-learn. This suggests the user was likely responsible for model development, data preprocessing, and potentially model evaluation for this specific repository. Additionally created a `model_trained.p` which is likely saving the model .
pythonkartlanguage-processingtensorflownatural-language-processing
naresh2002/BSM
Mar 2021 - Mar 2021
BSM - Books Songs Meditation
Contributions:39 commits, 4 PRs, 19 pushes in 2 days
musicsongsbsmmeditation
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