Neerja Doshi is a Senior Data Scientist at AWS with 8 years of experience applying machine learning to e-commerce, finance, and cloud products. She holds a Master’s in Analytics and a BTech in Computer Science, and progressed from internships and associate roles to senior positions at Amazon through hands-on model development and deployment. Her work spans recommendation systems, predictive modeling, NLP, and deep learning, with practical experience in Spark, PyTorch, AWS, and production databases. Early career wins include a 91% accuracy churn model and matrix-factorization-based product recommenders that leveraged learned embeddings for improved performance. She actively experiments on Kaggle and writes technical blog posts, using competitions as a proving ground for new techniques before productionizing them. Based in Seattle, she blends rigorous academic training with a track record of shipping business-impacting ML solutions at scale.
8 years of coding experience
4 years of employment as a software developer
Masters of Science Analytics, Masters of Science Analytics at University of San Francisco
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Vishwakarma Institute Of Technology
Contributions:19 commits, 15 pushes, 1 branch in 19 days
data-structuresscratchpython
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