Naini Shah

Engineering Manager II at Deloitte

Boston, Massachusetts, United States
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Summary

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Senior
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Top School
Naini Shah is an Advisory Manager at Deloitte in Boston with nine years of experience delivering data-driven solutions across analytics, machine learning, and cloud platforms. She combines hands-on proficiency in Python, R, SQL and frameworks like TensorFlow/Keras with practical experience deploying models and analytics using AWS, Hive, and BI tools such as Tableau and Power BI. Her background spans software engineering and analytics roles in India and the U.S., giving her a strong end-to-end perspective from data engineering to model development and productionization. Known for reliable teamwork and strong interpersonal skills, she has built predictive models using techniques from decision trees to deep learning and text analytics. A Northeastern University master’s candidate in Information Systems, she pairs academic rigor with consulting-led delivery, often translating complex algorithms into actionable business insights.
code9 years of coding experience
job3 years of employment as a software developer
bookBachelor of Engineering (BE) Information Technology, Bachelor of Engineering (BE) Information Technology at St. Francis Institute Of Technology
bookMaster's degree Information Systems, Master's degree Information Systems at Northeastern University
languagesEnglish, French, Hindi, Gujarati, Marathi
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Github Skills (3)

text-summarization9
recurrent-neural-networks9
pdf7

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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Our goal is to implement text summarization by generating headline for a news body using recurrent neural networks. We attempt to reproduce the results in the paper: https://arxiv.org/pdf/1512.01712.pdf
Contributions:48 commits, 16 pushes, 1 branch in 18 days
pdfrecurrent-neural-networkstext-summarization
Contributions:8 pushes, 1 branch in 13 days
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