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プロフィール詳細
Reuben M.に依頼
Malawi
Data Scientist | Research & Analytics Consultant | Tech Systems Builder
プロフィール概要
専門分野
サービス
Writing
Technical Writing,
Business & Legal Writing,
Copywriting,
Creative Writing,
General Proofreading & Editing
Research
Market Research,
User Research,
Feasibility Study,
Technology Scouting,
Gap Analysis,
Scientific and Technical Research,
Systematic Literature Review,
Secondary Data Collection
Consulting
Business Strategy Consulting,
Operations Consulting,
Scientific and Technical Consulting
Data & AI
Predictive Modeling,
Statistical Analysis,
Algorithm Design-ML,
Data Visualization,
Big Data Analytics,
Data Mining,
Data Cleaning,
Data Processing,
Data Insights
Product Development
Formulation,
Product Evaluation,
Product Validation,
Quality Assurance & Control (QA/QC),
Concept Development,
Product Launch Support,
Prototyping,
Reverse Engineering
職務経験
Lecturer
Mzuzu University
3月 2015 - 現在 ![]()
学歴
PhD in Data Science (Computer Science & Engineering)
University of Dar es Salaam
11月 2022 - 12月 2025 ![]()
MEng Information & Communication Engineering (Information & Communication Engineering)
Huazhong University of Science and Technology
9月 2018 - 6月 2020 ![]()
BSc in Information & Communication Technology (Information & Communication Technology)
Mzuzu University
9月 2009 - 12月 2013 ![]()
認定資格
-
Machine Learning with Python-From Linear Models to Deep Learning
MITx, an online learning initiative of the Massachusetts Institute of Technology.
https://courses.edx.org/certificates/8c8609246fce47a9b16581737e6134791月 2023 - 現在
-
Python for Data Science
IBM
1月 2022 - 現在
出版物
JOURNAL ARTICLE
Reuben Moyo, Jimmy Mbelwa, Evelyn Kachingwe, Juma Lungo (2025). Optimising student loan recovery in Malawi: Bridging policy gaps, socio-economic realities, and administrative challenges . Evaluation and Program Planning.
Reuben Moyo, Stanley Ndevbu, Michael Zimba, Martin Dybdal, Maria Maistro, Benjamin Balder Bach(2022). Report on the Malawi Data Science Bootcamp 2021 . ACM SIGKDD Explorations Newsletter. 24. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 46--48. Association for Computing Machinery ({ACM})
CONFERENCE PAPER
Reuben Moyo, Stanley Ndebvu, Catherine Chavula (2025). Advancing Chichewa IR .
Reuben Moyo, Stanley Ndebvu, Joseph Kumwenda, Peter Phiri, Vision Thondoya, Lonjezo Ndebvu, Llyod Chunga, Emmanuel Ngalande, Chimango Nyasulu, Brighton Chunga (2025). Water Parameter Estimation Application Using Statistical Learning: The Context of Malawi . 2025 IST-Africa Conference (IST-Africa).
Reuben Moyo, Stanley Ndebvu, Anderson G, Malema G, Francis Ijebu (2024). Hybrid Approach for Automatic Stemming of Chichewa Words Using Clustering with 4-grams and Affix Stripping . 2024 34th International Conference on Computer Theory and Applications (ICCTA).
Reuben Moyo, Stanley Ndebvu, Vision Thondoya, Lloyd Chunga, Numeri Phiri, Lonjezo Ndebvu, Wesley Kondowe, Macpherson Matewere, Michael Zimba (2024). MiLab: a Virtual Science Laboratory for Malawian Secondary Schools . 2024 IST-Africa Conference (IST-Africa).
Ndebvu, S., Moyo, R., Thondoya, V., Chunga, L., Phiri, N., Ndebvu, L., Kondowe, W., Matewere, M., Zimba, M.(2024). MiLab: a Virtual Science Laboratory for Malawian Secondary Schools . 2024 IST-Africa Conference, IST-Africa 2024.
Reuben Moyo, Stanley Ndebvu, Michael Zimba, Jimmy Mbelwa(2023). Using CNN to Detect the Use of Mobile Phone in Examination Rooms . 2023 First International Conference on the Advancements of Artificial Intelligence in African Context (AAIAC). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1-6.
Reuben Moyo, Stanley Ndebvu, Michael Zimba, Jimmy Mbelwa(2023). A Video-based Detector for Suspicious Activity in Examination with OpenPose . Deep Learning Indaba 2023. arXiv
Moyo, R., Ndebvu, S., Zimba, M., Mbelwa, J.(2023). Using CNN to Detect the Use of Mobile Phone in Examination Rooms . 1st International Conference on the Advancements of Artificial Intelligence in African Context, AAIAC 2023.
OTHER
Moyo, R., Ndebvu, S., Zimba, M., Mbelwa, J.(2023). A Video-based Detector for Suspicious Activity in Examination with OpenPose . arXiv.