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Abhimanyu Gupta

Saint Louis University · Chaifetz School of Business

I teach.
I build.
I lead.

I help organizations turn AI, analytics, and process improvement ideas into practical systems people can actually use.

17 years of technology delivery leadership · Ph.D. in information systems · M.Stat. · award-winning teaching · hands-on AI tool-building.

Abhimanyu Gupta, faculty member at the Chaifetz School of Business

For organizations

How I create value

Business problems I help solve — drawing on delivery leadership, statistics, research, and teaching.

AI Adoption & Transformation

Helping teams move from scattered AI experiments to disciplined workflows, use cases, governance, and adoption.

Analytics & Decision-Making

Using statistics, machine learning, and business analytics to improve decisions, explain tradeoffs, and create practical insight.

Process & Operations Improvement

Applying operations, systems thinking, and technology delivery experience to improve workflows, quality, capacity, and execution.

Capability Building & Training

Designing learning experiences, workshops, and tools that help people actually change how they work.

Why this combination matters

Many organizations have AI tools. Fewer have a clear way to turn those tools into better decisions, better workflows, and stronger teams. My career has moved across technology delivery, consulting, doctoral research, teaching, and tool-building. That combination helps me see both the system and the human behavior inside it.

In short

I teach statistics, analytics, and machine learning at the Richard A. Chaifetz School of Business, where I also direct the One-Year MBA Practicum Projects. Before that I spent seventeen years in technology — delivery, quality, and program leadership at Cognizant, Infosys, and TCS, including a $7M portfolio and organizations of 150+ professionals.

The classroom turned out to be full of problems worth solving. So I build things: oral assessment tools, anonymous question channels, analytics games, AI tutors. Each one starts as a teaching problem, becomes an experiment, and feeds back into research on how AI is changing what learning and assessment can be.

17Years

Technology industry experience

150+

Professionals led across delivery organizations

$7M

QA portfolio responsibility for a global bank

Ph.D.+ M.Stat.

Information systems and statistics foundation

What I do

Six capabilities that keep reinforcing each other

Program leadership shapes how I run experiential courses. Statistics shapes how I think. Teaching surfaces the problems. Technology lets me build the response.

Teaching & Learning Design

Course design, experiential education, analytics instruction, mentoring, and assessment built around application.

AI & Educational Innovation

Generative AI in the classroom, AI-assisted assessment, and learning applications tested with real students.

Analytics & Decision-Making

Statistics, machine learning, and quantitative reasoning applied to business decisions rather than exam questions.

Product & Prototype Development

Turning classroom problems into working applications — designed, built, piloted, and revised.

Program & Project Leadership

Large delivery programs, distributed teams, client governance, risk, and execution across industry and academia.

Innovation & Problem Solving

Finding the real problem, designing an experiment around it, and iterating until something works.

Proof in practice

Built because a class needed it

These projects also show how I approach organizational innovation: find a real problem, build a practical response, test it with users, and improve it.

Active

QuizBuddy

An AI-assisted oral assessment system that asks students to explain their reasoning and responds with follow-up questions.

What it shows: AI workflow design, academic integrity, adaptive questioning, human-centered assessment, practical prototyping.

Active

PopQuizBuddy

A low-stakes classroom response and retrieval-practice tool for live learning environments.

What it shows: Behavior-aware design, engagement systems, rapid feedback, learning adoption, classroom-tested iteration.

Active

Gamelytics

Analytics concepts taught through simulation and competitive play against live or simulated datasets.

What it shows: Experiential learning, analytics translation, simulation design, decision-making under uncertainty.

Active

StatsBuddy

A statistics learning companion that turns abstract quantitative concepts into interactive examples.

What it shows: Decision support, quantitative communication, simplification of complex ideas, user-centered learning.

Prototype

Anonymous Questions Platform

A back channel that allows quiet students to ask questions safely.

What it shows: Inclusive design, psychological safety, communication systems, participation design.

Research agenda

Three questions I keep returning to

My work on AI and pedagogy organizes around three connected problems.

01

Classroom Engagement

Getting more students genuinely into the room.

02

Student Learning

Designing for understanding, not coverage.

03

Academic Integrity

Redesigning assessment instead of policing it.

Recognition

Repeated recognition for teaching

From students, from the school, and from outside the university.

  • Emerson Excellence in Teaching Award

    Emerson Electric Company · 2021

  • Graduate Business Faculty of the Year

    Richard A. Chaifetz School of Business, Saint Louis University · 2021, 2022, 2024, 2026

  • Beta Gamma Sigma Outstanding Teacher Award

    Beta Gamma Sigma · 2023

  • Delta Sigma Pi Outstanding Faculty Award

    Delta Sigma Pi · 2026

Where the work has happened

  • Saint Louis University
  • Ghent University
  • Indian Statistical Institute
  • Citibank
  • Cognizant
  • Infosys
  • Tata Consultancy Services
  • Equifax
  • Wells Fargo Advisors

Seventeen years of technology delivery for global clients, doctoral research in Belgium, and ten years of teaching in a business school — the same problem-solving instinct applied in different rooms.

Interested in AI adoption, analytics transformation, learning innovation, or a problem nobody has framed properly yet?

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