Japheth Mursi, Ph.D. Profile

Lecturer- Data Science

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Japheth Mursi, Ph.D.

Lecturer- Data Science

Daystar University

2

Publications

3

Activities

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Name: Japheth Mursi, Ph.D.
Mobile: 0710469003
E-mail: jmursi@daystar.ac.ke
Website: None
Updated: 12 Sep, 2025
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SSEH-SCIENCE-ENGINEERING
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About

Accomplished AI researcher and educator with a Ph.D. in Information Systems, specializing in developing applied machine learning solutions for socio-economic challenges in emerging economies. Proven expertise in leading interdisciplinary projects that leverage NLP, Large Language Models (LLMs), and Agent-Based Modelling to address real-world problems in financial fraud, misinformation, and public health. Award-winning researcher with a strong record of securing grants, building research capacity, and translating technical innovation into actionable policy insights, directly supporting the UN Sustainable Development Goals (SDGs).

Curriculum Vitae

Japheth Mursi, Ph.D. CV

CV link :

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Academic Qualification

Recent Publications
Finlingo: A Conversational AI for Enhancing Financial Literacy Education in Africa

Published : 2024

Journals
Exploring the Influence of Pre-Processing Techniques in Obtaining Labelled Data from Twitter Data

Published : 2023

Journals
Teaches

1.  Introduction to Data Science & AI

2. Database Management Systems (and Advanced Database Management Systems)

3. Business Intelligence & Data Analytics

4. Ethics in Research & Data Protection (GDPR Policies)

5. Data Mining

6. Principles of Machine Learning

7. Natural Language Processing

Relevant Links
  1. Connect with me on LinkedIn- https://www.linkedin.com/in/japheth-mursi/
  2. Check out my articles on Medium- https://medium.com/@mursijapheth
  3. Github- https://jmursi.github.io/
  4.  
Publications
J
Journals

Finlingo: A Conversational AI for Enhancing Financial Literacy Education in Africa
Published2024
Link: https://ieeexplore.ieee.org/abstract/document/10878167

Exploring the Influence of Pre-Processing Techniques in Obtaining Labelled Data from Twitter Data
Published2023
Link: https://ieeexplore.ieee.org/abstract/document/10293408/

Activities
C
Conferences

Published2020

Customer Profiling from Social Media Engagement using LDA and Sentiment Analysis Approach

D
Dissertation

Published2023

Fuzzy-based machine learning for predicting narcissistic traits among Twitter users

Published2015

A supply chain management prototype for milk in Kenya : case of Gakindu Dairy in Nyeri Count

Research Interests

1.  Social Media Analytics & Digital Communication

2.  Misinformation, Disinformation & Civic Engagement

3.  AI for Financial Literacy and Scam Detection (e.g., Finlingo platform)

4. Cybersecurity and Threat Intelligence (SMS/Smishing detection, honeynet infrastructures)

5.  Computational Approaches to Political and Civic Discourse

6. Data-Driven Financial Inclusion & Frugal Innovation

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