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Nomatter Ndunga

Istanbul, Turkey

Education
1. MSc Geomatics Engineering, University of Zimbabwe, Grade: MERIT 02/2025- 06/2026
2.Geospatial Intelligence Honors degree, University of Zimbabwe (Upper Second Degree Class). 09/2015 – 06/2019
3. Diploma in Python Programming. 03/2023
4. Advanced Diploma in Data Science with R. 03/2023

Professional experience

1. Mining Promotion Corporation (MPC) (September 2024 – July 2026)
Produce and maintain operational and presentation maps, verify mining claims,
manage tenement databases, analyze spatial data, generate geological and exploration
mapping products, and support field and technical teams in decision-making.

2. GlobalInvestment Reporting (GIR) (August 2022 – August 2024)
Investment Analyst (VBA, Generate Fund Fact sheets, Review Reports for errors and
Inconsistencies, Automation of Reports and Technical Analysis, Data Verification,
Assist with monitoring and API functions)
3. Regloc Investments and Mining Consultancy (September 2019 – February 2022)
Database management, Site of Works planning, and mine pegging

4. Mining Promotion Corporation (MPC) (June 2017 to July 2018)
Manage Special Grants and geospatial databases, analyze geological data, produce
mineral potential maps, and provide GIS support for fieldwork, presentations, and
meetings.

5. Zimbabwe Department of the Surveyor GeneralCartographer (13 September 2017 to
15 October 2017)
Manage and evaluate spatial data, ensure map accuracy, and design maps while
liaising with stakeholders.

Certificates

• Associate Data Scientist (Data Camp)
• Certified: Data Analyst Associate (Data Camp)
• Data Scientist (Data Camp)
• Certified SQL Associate (Data Camp)
• Python for Data Science and AI
• Imagery, Automation, and Applications
• Introduction to Data Analytics
• Python for Data Science and AI
• R Programming
• Regression models
• Predictive Analytics & Modeling using SPSS
• CSS,JavaScript and Python Programming
• Practical Machine Learning
• SQL for Data Science
• SQL: A Practical Introduction for Querying Databases
• Introduction to Data Science
• Tools for Data Science
• R Programming for Data Science
• Exploratory Data Analysis
• Statistical Inference
• Data Science and MachineLearning Fundamentals
• The Data Scientist’s Toolbox
• Fundamentals of Data Analysis in Excel
• Developing Data Products
• Getting and Cleaning Data

Achievements

Business Understanding, Hypothesis Framing, Communication, Programming, Exploratory
Data Analysis, Data Visualization, Creativity, Mathematical Modelling, Model Evaluation,
Communication Model Interpretation.

Areas of Expertise

• Data Visualization and Quantitative Analysis
• GIS software (QGIS, ESRI, ILWIS, Google Earth, ENVI, MapInfo)
• Cartography (Topographical, Thematic, General reference, Cadastral)
• Open Data Kit installation and Surveys.
• Decision Analytics
• Predictive Modelling
• Big Data and Spatial Queries and Interpretation
• Database management
• Research, Reports, and Forecasts
• R Programming, MySQL, Python
• Project management
• SPSS, Advanced Excel, Microsoft
• MapInfo
• Teaching English (TEFL)
• Microsoft Excel, PowerPoint, Word, Outlook

Nomatter Ndunga

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