Dunstan Matekenya

Data Scientist

Washington, District of Columbia, United States
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Summary

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Senior
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Top School
Dunstan Matekenya is a data scientist with nine years of experience blending statistics, geospatial analysis, and machine learning to solve real-world problems across government, academia, and international development. Trained as a mathematician and statistician, he led large-scale national surveys and managed GIS operations before pivoting to applied ML for his PhD—where he built a Hadoop/Spark pipeline and predictive models on cellular mobility data. At the World Bank he applies text, graph, network and satellite-image analytics to inform urban planning, disaster response, and poverty estimation, and has hands-on experience deploying CNNs/RNNs for image and sequence tasks. He’s comfortable moving from sampling theory and hypothesis testing to production ML, with a habit of interrogating algorithms’ theory and proposing principled enhancements. Based in Washington, D.C., he combines a deep academic grounding with practical engineering skills in Python, Java, Hadoop, and Spark to turn complex spatial-temporal datasets into actionable insights.
code9 years of coding experience
job10 years of employment as a software developer
bookUniversity of Tokyo
bookBachelor of Education (B.Ed.), Mathematics, Bachelor of Education (B.Ed.), Mathematics at University of Malawi
bookMaster of Science (MSc), Geospatial Information Science, Master of Science (MSc), Geospatial Information Science at Curtin University
languagesEnglish, nyanja, Japanese
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Stackoverflow

Stats
67reputation
3kreached
3answers
4questions
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Github Skills (64)

pytorch10
python10
machine-learning10
deep-learning10
natural-language-processing10
transformer10
nlp10
transformers9
ntl9
language-model9
bert9
tensorflow9
jax9
speech-recognition9
voice8

Programming languages (4)

TypeScriptHTMLJupyter NotebookPython

Github contributions (5)

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worldbank/smart-survey-boxes

Aug 2017 - Apr 2018

This repository contains scripts about the Listening to Tajikistan project. Check our Wiki page for more details.
Contributions:35 commits, 2 pushes in 7 months
detailswikilisteningwiki-page
worldbank/BDA-with-Python

Feb 2022 - Oct 2022

Contributions:4 commits, 5 pushes, 1 branch in 8 months
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