Eric Goh Ming Hui
Founder, Data Scientist and Educator
Dynamic Data Science Professional, Educator, and Software Developer with over a decade of experience bridging higher education, institutional research, and advanced software engineering. Proven track record as a founder and academic lecturer, having authored 9 technical books and developed 20+ software applications and 30+ data science courses. Expert in data science, data mining, text mining, machine learning, and curriculum design across Python, R, and Java.
Core Competencies
Data Science & ML: Data Science, Data Mining, Text Mining, Predictive Modeling, Natural Language Processing (NLP), Social Network Analysis, CHAID Analysis, Machine Learning (Weka, RapidMiner)
Programming & Tools: R, Python, Java, .NET Framework, C#, Excel VBA, SPSS Statistics, Tableau, SolidWorks
Education & Leadership: Curriculum Development, Instructional Design, Team Management, Technical Writing, Academic Lecturing.

Summary of Professional Milestones
Education
Master of Technology Degree, Knowledge Engineering
National University of Singapore ( 2012 – 2013 )
Executive MBA Degree, IT Management
U21Global and IGNOU ( 2010 – 2012 )
Graduate Diploma in Mechatronics
A*STAR SIMTech ( 2010 – 2011 )
Bachelor of Science, Computing
University of Portsmouth ( 2010 – 2010 )
Diploma with Merit in Electronics and Computer Engineering
Ngee Ann Polytechnic ( 2005 – 2008 )
Experiences
Adjunct Lecturer and Faculty
Kaplan, MDIS, University of the People, EGMHAcademy.com
( 2018-10-31 – 2021-12-31 ) * Currently Working Here
Job Key Responsibilities:
– Product Creation: Designed, recorded, and launched 30 comprehensive online courses on Udemy and EGMHAcademy, educating thousands of global students in data science and programming.
– Technical Authorship: Published 9 technical books and guides, including Learn R for Applied Statistics published by Apress (Springer Nature), and authored 34 high-impact technical tutorials on Medium.
– Software Engineering: Programmed 21 standalone applications, acting as main developer for four flagship data tools: JARI, Green Office, JAMS, and JASS.
- Operations & Marketing: Built end-to-end digital marketing and social media strategies to scale platform visibility; optimized cross-functional flows for e-commerce, customer feedback, and digital delivery.
Evidence 1 | Evidence 2 | Evidence 3 | Evidence 4
Founder
EGMHAcademy.com
( 2018-01-01 – ) * Currently Working Here
Job Key Responsibilities:
–Higher Education Delivery: Instructed undergraduate courses in Python, Java Programming, and Data Mining for University of the People.
– Specialized Lecturing: Delivered practical modules in Data Analytics and Data Mining at Kaplan, and Rapid System Development at MDIS.
– Academic Administration: Designed course syllabi, engineered testing frameworks, created grading rubrics, and maintained rigorous classroom management across lecture and laboratory environments.
Data Science Research Analyst
Nanyang Technological University, Institutional Statistics Unit
( 2015-10-31 – 2018-04-30 )
Job Key Responsibilities:
– Institutional Analytics: Processed and analyzed datasets for global tracking systems including QS World University Rankings, Times Higher Education (THE), and ARWU.
- Tool Development: Built DSTK (Data Science Toolkit – NTU Version) using C#, Python and R to automate data cleaning pipelines for the QS ranking.
- Process Automation: Developed JATI (Just Another Tesseract Interface), an OCR-driven internal tool that eliminated manual data entry into Excel for junior analysts.
- Advanced Modeling: Implemented CHAID decision-tree analysis to provide predictive insights for senior university leadership. Managed and delegated daily workflows for junior analytical staff.
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Adjunct Lecturer
St. Hua Private School
( 2015-05-31 – 2016-05-31 )
Job Key Responsibilities:
– Curriculum Design: Developed full instructional courseware, lecture slides, and lab materials for Advanced Diploma in Electronics modules in C and Java.
– Assessment Strategy: Authored examinations, managed grading criteria, and invigilated assessments for technical diplomas.
Researcher (Social Network Analysis)
Singapore Management University
( 2014-05-31 – 2026-11-30 )
Job Key Responsibilities:
– Algorithmic Prototyping: Researched and prototyped a relationship recommendation engine using China Sina Weibo data, utilizing Java, Natural Language Processing (NLP), and Background Net algorithms.
- Optimization: Executed data preprocessing, feature engineering, and predictive modeling on text corpora and structural network graphs to boost classification accuracy.
- Literature Analysis: Evaluated cutting-edge research papers in graph theory and relationship mining to guide project architecture.
# Evidence 1 | Evidence 2 | Evidence 3
Data Science Researcher and Leader
CrimsonLogic Pte. Ltd.
( 2012-05-01 – 2013-03-01 )
Job Key Responsibilities:
– Systems Automation: Led the development of an intelligent system to automate the Singapore Customs Trade Facilitation process using specialized background network frameworks.
– Machine Learning Pipelines: Engineered and cleaned big data inputs utilizing .NET, RapidMiner, and Weka.
– Validation & Testing: Applied 10-fold cross-validation and confusion matrix analysis to continuously optimize algorithm precision, ultimately achieving an audited 80% accuracy rate satisfying Singapore Customs requirements.
# Evidence 1 | Evidence 2
Research Staff (Product Design and Machine Learning)
Singapore University of Technology and Design
( 2010-10-01 – 2010-10-01 )
Job Key Responsibilities:
– Hardware-Software R&D: Assisted an MIT Professor in the research, mechanical design (SolidWorks), and microcontroller programming (Arduino, C#, Java) of low-cost pneumatic sensors and medical IV drip monitors.
– Robotics & Mentorship: Built an autonomous mobile robot leveraging Arduino and machine learning to facilitate departmental research; mentored junior college students in rapid prototyping, 3D printing, and basic electronics during the Temasek Wow Exchange program.
Books

Learn R for Applied Statistics (Apress)
Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will work through data visualizations such as histograms and boxplot charting, descriptive statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions.
Project Portfolio

JARI – Just Another R Interface, inspired by JASP and Jamovi, created to help learner learn statistics and data analytics.

Green Office and Graphics Suite – to help learners write better report by consisting LibreOffice, Blender, GIMP, Inkscape, and our Equation Editor software, Computer Algebra System interface software, and GNUPlot Interface software

JAMS -Just Another Multimedia Suite to help learners work hard play hard by watching movies and listen musics with AIMP and VLC player, and edit video and sound using LMMS and etc. JAMS also consist our text to Sound software, audio recording and conversion softwares.

JASS – Just Another System and Security Suite to help learners optimize their PC using windows build in softwares like checkdisk, … opensource softwares like bc uninstaller, and our folder hidder and text and file encryption software. JASS uses PC Mag recommendations to optimize windows 11, and AVG recommendations to solve BSoD.
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