AI &
Business
(customer engagement and FinTech)
Understanding customers with data and AI: engagement, recommendation and decision support for business.
For business, marketing and retail researchers, supermarkets and e-commerce teams, and FinTech projects.
My most recent paper, in the proceedings of the 2nd International Symposium on AI-Driven Engineering Systems (ISADES 2026, IEEE), predicts how people engage with multimedia content from self-reported affective and experiential variables. I have also written on recommendation systems built with data mining (2022), AI in search engines (2023) and blockchain as a disruptive technology for e-commerce (2020).
I taught E-commerce for five years, and I use Structural Equation Modeling (SEM) in SmartPLS and R, the standard method for survey studies of customer satisfaction, trust and loyalty.
My
Work
Human engagement and multimedia content
A predictive study of engagement based on self-reported affective and experiential variables. ISADES 2026, IEEE. Read the record
Recommendation systems with data mining
A survey on building recommendation systems using data mining techniques. Book chapter, IGI Global, 2022. Read the record
AI in search engines
Opportunities and challenges of artificial intelligence in search engines. Book chapter, 2023. Read the record
Blockchain as a disruptive technology
Chapter in the Handbook of Research on Innovation and Development of E-Commerce and E-Business in ASEAN, IGI Global, 2020. Read the record
How I
Help
Customer and market research design
Survey design, measurement scales and sampling for studies of customers, users and markets.
SEM and statistics
Structural Equation Modeling in SmartPLS and R, and the statistics behind satisfaction, adoption and engagement studies.
Machine learning and AI
Prediction, recommendation and segmentation models, built and evaluated on your data and explained in plain language.
Human-centred AI
Designing and evaluating AI with the people who will use it, including affective computing and engagement measurement.
Reports and findings
Technical reports, journal papers and policy briefs that turn the analysis into clear findings and recommendations.
How It
Works
01
Free call
We talk for 30 minutes about your project, your data and what you need from a research partner. You leave with a clear next step.
02
Plan
You get a written plan: my role, the methods, the timeline and what you will receive, with a clear quote or a budget line for your proposal.
03
Deliver & report
I do the work with your team, explain every step, and deliver the findings in the form you need: tables, reports, papers or a policy brief.
Why
Me
(background)
My background
- MSc.TE (2026) and BSc.TE (2017, First Class Honours), Computer Science and Engineering, Islamic University of Technology
- MSc in Cyber Security (in progress), Daffodil International University
- University ICT Support Officer, Islamic University in Uganda (since 2018)
- Lecturer, Labour College of East Africa (2018-2023)
- Research Assistant, Motion Analysis Research Laboratory (2019)
- Data Expert, VODAN Africa with Kampala International University (2020-2023)
- Certified FAIR Data Steward, Level 3 (VODAN Africa)
Discuss your project in a free 30-minute call.
In 30 minutes, we cover:
- What your project needs from a research, data or AI partner.
- Where I can add the most: design, analysis, systems, data management or reporting.
- A clear next step, whether or not we work together.
Fill in the short form. I’ll message you on WhatsApp to agree a time.
ready for your free 30-minute call?
P.S. Studying customers, retail or FinTech and need a data or AI partner? A free 30-minute call is the quickest way to see whether I fit your project.
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