About
- I'm a Data Science Freelance Consultant;
- I taught Data Science to students at…
Articles by Dr. Alvin
Activity
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I am deeply honored to have been given the opportunity to serve as a reviewer for the Science Journal of Business and…
I am deeply honored to have been given the opportunity to serve as a reviewer for the Science Journal of Business and…
Liked by Dr. Alvin Ang
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I believe DIFFICULT SITUATIONS DEVELOP AMAZING SKILLS for those with an "I CAN" attitude and crushed those with an "I CAN'T" attitude. In…
I believe DIFFICULT SITUATIONS DEVELOP AMAZING SKILLS for those with an "I CAN" attitude and crushed those with an "I CAN'T" attitude. In…
Liked by Dr. Alvin Ang
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An inspirational song to encourage a Lifelong learning culture....
An inspirational song to encourage a Lifelong learning culture....
Liked by Dr. Alvin Ang
Experience
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Education
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Licenses & Certifications
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Tableau Desktop Specialist
Tableau
IssuedCredential ID https://www.credly.com/badges/efbef443-96ee-4aea-8809-60a9be97f773 -
Get Started with Tableau
Tableau
IssuedCredential ID https://www.credly.com/badges/ee1ebdcd-d254-41d2-a9cc-68db8b6aa40e -
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Interact with Dashboards and Reports
Tableau
IssuedCredential ID https://www.credly.com/badges/8425d228-dccd-4a75-ac16-72271cbede10/public_url -
Apache Spark 3 - Spark Programming in Python for Beginners
Udemy
IssuedCredential ID https://www.udemy.com/certificate/UC-9553ee03-b7eb-4417-8ae2-7fce57bdf014/ -
Machine Learning with Python - Badge
IBM
IssuedCredential ID https://www.credly.com/earner/earned/badge/7847721c-9f8c-4c9b-8ce4-5414ffab7e9b -
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Data Visualization with R - Badge
IBM
IssuedCredential ID https://www.credly.com/badges/9e7bfae3-c5a6-4a13-bf43-a0d0347e2073/public_url -
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Advanced Certificate in Learning and Performance (ACLP)
Institute for Adult Learning Singapore
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Health Insurance (HI)
SINGAPORE COLLEGE OF INSURANCE LTD
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Life Insurance and Investment Linked Policies (M9)
SINGAPORE COLLEGE OF INSURANCE LTD
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Life Insurance and Investment Linked Policies II (M9A)
SINGAPORE COLLEGE OF INSURANCE LTD
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Rules and Regulations for Financial Advisory Services (M5)
SINGAPORE COLLEGE OF INSURANCE LTD
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Publications
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Performance Comparison of Multiple Product Kanban Control Systems
International Journal of Production Research
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A Performance Comparison of Single Product Kanban Control Systems
International Journal of Production Management and Engineering (IJPME)
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A Performance Comparison between the Base Stock (BS), Traditional Kanban Control System (TKCS) and Extended Kanban Control System (EKCS) - New Findings
Annual Symposium on Management and Operations Research (ASMOR 2013) in Taiwan
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A Performance Comparison between the Base Stock (BS), Traditional Kanban Control System (TKCS) and Extended Kanban Control System (EKCS)
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2012) in Hong Kong
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A Performance Comparison between the Extended Kanban Control System (EKCS) and the Traditional Kanban Control System (TKCS)
IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2010) in Macau
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A Model for Determining the Optimal Number of Base Stock and Kanbans in a Single Stage EKCS
Asia – Oceania Top University League on Engineering (AOTULE) 2010 Postgraduate Student Workshop in Indonesia
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Integrating the Adaptive Kanban System for Single-Stage, Single-Product into Multiple-Stage, Multiple-Product Kanban Systems using the Construction Kit Approach
NTU – JAPAN Tohoku Workshop
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Chocolate Sales Dashboard with Power BI (Parts I, II and III)
medium.com
See publicationPart II
https://dr-alvin-ang.medium.com/chocolate-sales-dashboard-2-with-power-bi-45d5f933df3d
Part III
https://dr-alvin-ang.medium.com/chocolate-sales-dashboard-3-with-power-bi-7455cd03a97c -
Dashboarding with Excel
medium.com
See publicationPart II
https://dr-alvin-ang.medium.com/dashboarding-with-excel-part-2-372774dd2de5
Honors & Awards
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SUSS Lecturer Service Award
SUSS
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Top New Financial Consultant
AIA
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Mathematics Professor of the Year Award
SP Jain
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Best Soldier Award
Singapore Armed Forces
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Excellent Teaching Feedback
NTU
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Best Commander Award
Singapore Armed Forces
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Excellent Teaching Feedback
SIM
• Teaching Statistics = 4.62 / 5 rating
• Teaching Operations Management = 4.69 / 5 rating
• Teaching Quantitative Methods = 4.26 / 5 rating
Test Scores
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NTU Ph.D. CGPA
Score: 4.7 / 5
Organizations
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Chartered Institute of Logistics and Transport (CILT)
Elected Member
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International Association of Engineers (IAENG)
Elected Member
- Present
Recommendations received
322 people have recommended Dr. Alvin
Join now to viewMore activity by Dr. Alvin
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A song focusing on the Growth areas: Data Science, Cybersecurity, Governance-Risk-Compliance (GRC)....
A song focusing on the Growth areas: Data Science, Cybersecurity, Governance-Risk-Compliance (GRC)....
Liked by Dr. Alvin Ang
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Many people still confuse about the following roles with regards to Privacy & Data Protection: 1. Business Owner: Primary decision-maker and wholly…
Many people still confuse about the following roles with regards to Privacy & Data Protection: 1. Business Owner: Primary decision-maker and wholly…
Liked by Dr. Alvin Ang
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Kanban Singapore
Hi Kanban Singapore folks, There's an upcoming workshop on Systems Thinking—a powerful approach to understanding and managing complex systems. Systems Thinking helps us see the big picture by recognising patterns and interconnections within systems. This is particularly relevant to Kanban, especially with the STATIK (Systems Thinking Approach to Implementing Kanban) method, which we use to optimise our workflows. By applying Systems Thinking, we can better identify bottlenecks, understand feedback loops, and make more informed decisions to improve our processes. The workshop will cover: - Introduction to Systems Thinking - How to apply it in various contexts - Hands-on practice with causal loop diagrams It's a fantastic chance to deepen our knowledge and enhance our Kanban practices. If you're interested in joining, register via Telegram here: https://lnkd.in/gYydvTiS. Cheers, Debbie #KanbanSingapore #KanbanSG #Kanban #KanbanUniversity #YesWeKanban #LeSS #lessworks
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Ingo Frommholz
Followers, what is your take on reporting statistical significance in machine learning experiments, for instance image or multimodal classification? In Information Retrieval, we talk a lot about statistical significance and how to correctly measure it (t-test, Bonferroni, Tukey, etc, see Tetsuya Sakai's book on this topic). But in the ML/DL/classification literature, it seems statistical significance is often not reported. Should we, as reviewers of such papers, insist on statistical significance? And what would be good practice?
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LMS Solution
Explore Research Rabbit, the premier AI tool for research, offering an effortless literature review experience. Dive into this tutorial review to discover its capabilities. https://lnkd.in/dBtmbzcp https://lnkd.in/gwJgp5AP #ResearchRabbit #AITool #LiteratureReview #ResearchAssistance #TutorialReview #AIResearch #ScholarlyTools #AcademicWriting #EfficiencyBoost #AIInnovation #ResearchGuidance #TechForResearchers #TutorialExploration #KnowledgeDiscovery #AIReviewAssistant
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Digital Promise
Digital Promise's Xin Wei unveils new insights in a study on AI and mathematics education, now published in Frontiers. In “Evaluating ChatGPT-4 and ChatGPT-4o: Performance Insights from NAEP Mathematics Problem Solving," Wei’s assessment of the capabilities of ChatGPT-4 and ChatGPT-4o in solving mathematics problems from the NAEP exams across grades 4, 8, and 12 are highlighted. The findings show that AI has the potential to support instruction in specific mathematical areas, but there remains a need for teacher-mediated strategies in areas where AI is less effective. https://bit.ly/3ZwyFej
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Bayes Labs
Research Paper Highlights: "A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language Models: An Experimental Analysis up to 405B" by Jemin Lee et al. This paper conducts an in-depth analysis of how quantization affects the performance of instruction-tuned large language models (LLMs), evaluating models from 7B to 405B parameters across various tasks. Current challenges in quantized LLMs performance: -Quantized LLMs show lower accuracy in hallucination detection and instruction-following tasks. -Different quantization techniques result in varying degrees of accuracy degradation, particularly in large models. Key highlights of this research work: -Weight-only quantization (e.g., AWQ) typically performs better than methods that also quantize activations (e.g., SmoothQuant), especially in models like Llama-3.1-405B. -There is significant variation in performance depending on the quantization method, model size, and bit-width, with weight-only approaches typically delivering better outcomes in larger models. -Standard evaluation methods like MT-Bench have limited power in distinguishing high-performing, quantized LLMs. The paper emphasizes the importance of careful selection of quantization methods based on model size and task type. Further Reading: https://lnkd.in/d32EMZgj
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