EduTech · AI & Data for Education Quality

Dr. Shinu Abhi

Director — RACE, REVA Academy for Corporate Excellence · Fulbright Fellow · EduTech Expert

AI and data, applied with intent, can raise the quality of education at every level — from the individual learner to the whole institution.

I help universities and enterprises turn that into practice — with AI and data applied across the learner lifecycle, cohort design, pedagogy and institution-wide benchmarking. The case studies below are where I've built it.

Director · Corporate Training RACE · REVA University

◆ Fulbright Fellow — Lehigh University, USA

Programs built with
IBMAWSMicrosoft+ 20 global partners
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Quality at every level

AI and data don't raise education quality in the abstract. They raise it at specific, addressable levels — from a single learner to an entire institution and its peers. Here's where, and how.

The levelWhere AI & data act
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The individual learner
Lead scoring across the lifecycle to admit best-fit learners — quality begins at selection.
Case study 01
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The cohort
Micro-segmentation into meaningful groups so engagement and pedagogy fit each one.
Case study 02
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Acquisition
Using data to reach and win the right, discerning learners — not just more leads.
Case study 03
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Pedagogy
The right mix of pedagogy and AI, matched to the learner, to lift real engagement.
Case study 04
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Learning outcomes
Mapping content and assessment to Bloom's taxonomy, delivered across VAK modalities, to lift attainment.
Case study 05
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The institution & ecosystem
Benchmarking quality across internal departments, national peers and global institutions.
Case study 06
◆ From the individual learner to world-class benchmarkingAI & data · applied with intent
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EduTech case studies with AI

Short, practical write-ups of AI and data applied to real education-quality problems — drawn from work I've built at RACE.

◆ Click any case study to read the full write-up. To edit one or add your own, use the edit button.

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About Dr. Shinu Abhi

I help institutions and enterprises upgrade the quality of their education with AI and data — because I've built exactly that inside a live EdTech venture, not just advised on it.

As Director of Corporate Training at RACE (REVA Academy for Corporate Excellence), I've grown a self-sustaining EdTech practice that trains 1,000+ professionals a year for 100+ organisations, and architected India's Master's programs in AI, Cybersecurity and Analytics. The case studies above are the methods I use to raise quality at every level.

25+years in education & industry
1,000+trained every year
100+client organisations
20+global partners
Credentials

PhD, Management & Entrepreneurship — Jain University

Fulbright Fellow — Lehigh University, USA (2013–14)

Certified Entrepreneurship Educator — NEN · IIM-Bangalore + Stanford · ISB

30+ emerging-tech certifications · VIDWAN 229883

Built at RACE

M.Tech in Cybersecurity — 100% simulation, campus SOC + Cyber Range

M.Tech in Artificial Intelligence — research-driven, industry co-created

Executive Master's — Analytics · AI · Cybersecurity

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Bring this to your institution

Ways to work together to raise education quality with AI and data — whether you lead a university, a training function or an EdTech venture.

01 · Quality Diagnostic

Benchmark & roadmap

Benchmark your departments against national and global institutions, and get a prioritised, data-backed roadmap to close the quality gaps.

02 · AI & Data Enablement

Deploy across the lifecycle

Stand up lead scoring, learner segmentation and engagement analytics for your programs — with your team upskilled to run them.

03 · Program & Pedagogy

Design for engagement

Co-design outcome-based programs with the right pedagogy + AI mix for measurable learner engagement and results.

04 · Advisory & Training

Strategy & upskilling

Advisory for leadership on EdTech quality strategy, plus bespoke corporate training in AI, ML and cybersecurity.

Start a conversation Open to universities, training functions and EdTech ventures.
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Let's raise the quality of your education — measurably.

Whether you want to benchmark quality, deploy AI across your learner lifecycle, or design better programs — I'd be glad to talk.

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