Curriculum Vitae
Development Economist & Data Scientist | Environmental Economics & Geospatial Analysis
Professional Experience
Leading primary data collections for RCTs and Evidence Gap Maps across multiple countries. Developing survey instruments using ODK and conducting data analysis for multi-stakeholder projects. Specialized expertise in geospatial analysis, mapping, and data collection quality assurance.
Developed a performance dashboard for climate change mitigation projects. Supported M&E initiative to develop a new output-level indicator focused on Gender Equality and Social Inclusion. Provided comprehensive support for a web-based application management tool.
Conducted data analysis and developed survey instrument tool proposals for multi-stakeholder projects in Vietnam. Supported and involved in all stages of 3 systematic reviews and Evidance Map Gaps.
Analyzed impact data for 2,000+ children in development programs, raising over $85,000 through compelling data visualization. Developed dashboards and reports for program monitoring and donor communication. Applied statistical methods to evaluate program effectiveness and identify learning opportunities.
Specialized in iron ore and coal market studies with macroeconomic modeling expertise. Developed DSGE and CGE models for economic forecasting and policy analysis. Conducted in-depth analysis of Mongolia's mineral-dependent economy and resource management policies.
Technical Skills
Education
Thesis: "Up in the Air: The Effects of Air Pollution on Conflict in West Africa"
Supervisors: Prof. Dr. Krisztina Kis-Katos and Dr. Kerstin Unfried
Thesis: "The impact of corruption on institutions in transitional economies."
Supervisor: M.S. Battulga Sergelen
Completed an R Data Visualization specialization, creating advanced visualizations and integrating them into reproducible reports and dashboards, culminating in an individual capstone project.
Earned the Google Advanced Data Analytics Certificate, completing seven hands-on courses focused on large-scale data exploration, statistical analysis, machine learning, and predictive modeling for advanced analytics and entry-level data science roles.
Languages
Mongolian
Native Proficiency
English
Fluent
German
A2 Level
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