“I had the great pleasure to work with Sheema on a project focused on assessing and visualizing AI bias in chatbots and online translators. Sheema is very creative, extremely reliable and productive, and a great team member. She gave significant contributions on many aspects of the project, including data collection, demo and system design and implementation, and paper writing and presentation. I hope we will work together again in the future.”
Activity
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I’m excited and extremely grateful to share that I’ve been nominated for three TakeITForward awards this year. TIF Tech Savvy : is awarded to an…
I’m excited and extremely grateful to share that I’ve been nominated for three TakeITForward awards this year. TIF Tech Savvy : is awarded to an…
Liked by Sheema Usmani
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Last week, I was honored to deliver the commencement address at my alma mater University of Pennsylvania Engineering for their Master’s Degree…
Last week, I was honored to deliver the commencement address at my alma mater University of Pennsylvania Engineering for their Master’s Degree…
Liked by Sheema Usmani
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One of the most insightful panels I have been on! A huge thank you to my fellow speakers, Julie Shah and Jeff Kinder, and our moderator, David…
One of the most insightful panels I have been on! A huge thank you to my fellow speakers, Julie Shah and Jeff Kinder, and our moderator, David…
Liked by Sheema Usmani
Experience & Education
Patents
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System, method and visualization for data-driven ranking of products by competitiveness
US 16/564252
Courses
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Data Driven Medicine
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Discrete Mathematics and Algorithms
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Distributed Algorithms and Optimization
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Global Entrepreneurial Marketing
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Modern Applied Statistics
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Small Data
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Social and Information Networks
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Projects
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Distributed Deep Learning
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• Analyzed computation time for training a Deep Neural Network model in parallel and distributed setting
• Proposed ways to improve training time by analyzing synchronous and asynchronous weight update algorithms and
found the worst case asymptotic communication cost and computation time -
Predictive Modelling
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• Built a predictive model to understand the rate of progression of ALS (Lou Gehrig’s disease) using clinical trial data
• Handled high dimensional complex data to build a robust GBM model with13 predictors from initial 850 features
• Among the top 15 groups out of an initial 200 groups -
Natural Language Processing, Masters Thesis, IIT (BHU)
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• Built a clustering algorithm to group synonymous entities (subjects) derived after text analysis
• Reduced the memory requirement of dataset by approximately 20% in the NELL Knowledge Base
Honors & Awards
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IIT Color
Indian Institute of Technology (Banaras Hindu University), Varanasi
• IIT Color is second-most prestigious award at IIT (BHU), Varanasi
• Awarded to those students who won laurels on account of exceptional achievements and contribution to a field of choice
• Introduced 3 new clubs and initiated an inter-college competition that became an annual event
Recommendations received
1 person has recommended Sheema
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Inspiration, curiosity, and enthusiasm filled the rooms at the inaugural Digital Data Design (D^3) Institute at Harvard conference this week. Nearly…
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It’s well known that I’ve forecast a soft landing for the US economy. A year ago, the Financial Times reported 85% of economists expected a 2023…
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For the past few months, we at Snowflake ML have been busy building Snowflake Copilot, a world-class LLM assistant for SQL generation. I'm excited to…
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