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Shikha Verma

Senior Manager Analytics at Toast

Shikha is a data science leader with expertise in machine learning, fraud detection, and explainable AI. A PhD researcher and industry speaker who applies advanced analytics to solve real-world problems across digital platforms and financial systems.

Talks about

Shikha talks about machine learning in real-world systems, fraud and risk analytics, explainable AI, and the transition from academic research to industry data science, sharing practical insights on building and interpreting intelligent models.

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Highlights

See the "what". Explore their accomplishments, groundbreaking projects, and industry recognition. Witness how they're shaping the future of data.

Driving Machine Learning–Powered Risk and Fraud Analytics in Fintech

Shikha drives analytics and data science initiatives across fintech and SaaS companies, applying machine learning and risk analytics to real-world fraud detection and large-scale transaction systems.

Invited Industry Speaker for Dr B R Ambedkar National Institute of Technology, Jalandhar

Shikha was invited to share expertise from industry, which signals that her work in analytics and data science is respected outside her company.

Panel Speaker for Women in Data Science (WiDS) at Stanford University

Shikha was a featured speaker in this event, presenting a session on “Fraud Detection using Machine Learning for Transaction and Application Use Cases,” sharing practical insights from real-world fintech data science applications.

Insights

Unlock the "why". Dive into interviews, blogs, and videos where thought leaders unpack their insights. Go beyond the resume, connect with the mind behind the expertise.

AI strategy

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Feb 25

Finding an industry job after a Ph.D. in Data Science

This article shares practical advice for PhD graduates transitioning to industry data science roles, covering mindset shifts, translating academic skills into industry-relevant resumes, networking on LinkedIn, and preparing for data science interviews.

Data Engineering

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Mar 1

A Governance-Practice Framework for Remanufacturing in the Indian Automobile Sector

This appears in the book Circular Economy for the Management of Operations that examines how remanufacturing, restoring used automotive components to “as-new” condition, can help the Indian automobile industry adopt circular economy practices and reduce waste.

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Bruno Gonzalez

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Manisha Jain

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Dan DeMers

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Shikha Verma

Talks about

Badges

Highlights

Driving Machine Learning–Powered Risk and Fraud Analytics in Fintech

Invited Industry Speaker for Dr B R Ambedkar National Institute of Technology, Jalandhar

Panel Speaker for Women in Data Science (WiDS) at Stanford University

Notable Contributions

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Insights

Finding an industry job after a Ph.D. in Data Science

A Governance-Practice Framework for Remanufacturing in the Indian Automobile Sector

Meet other data experts

Your Profile, Your Way!

Have changes or updates for your profile? Reach out to us! Share the latest details & updated resources with us here: