My name is James and I hold a Master's in Economics from Universidade NOVA de Lisboa, Nova School of Business and Economics in Portugal.
✨ I am an applied microeconomist interested in using non-conventional data sources such as text, Historical Maps, GIS data to study development related topics. My current research focuses on development economics topics such as mobile money, artisanal mining, higher education policy, decentralization, and early-life circumstances in Africa.
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I am an advanced Stata user with expertise in statistical analysis and data management. Currently, I am expanding my skill set by learning R, SQL, and refining my Python abilities. Additionally, I am polishing my QGIS skills to analyze geospatial data.
Feel free to check out my repositories to see projects related to data cleaning, management, visualization, and analysis, as well as geospatial analysis. These projects cover the following areas:
- Web Scraping: Used beauitful soup to extract data from websites
- Machine Learning: Applied unsupervised and supervised machine learning algorithms
- Using Google Vision OCR to Digitize Historical Data: Used Google Vision's OCR to digitize scanned academic documents
- Data Analysis in Python: Used python libraries like Pandas, Seaborn and Matplotlib to Clean, explore, analyze and visualize data
- Geospatial Analysis: Used QGIS and Python analysis on spatial datasets.
📦 Some projects are yet to be uploaded or are available upon request.
