Patrick Sang

GIS Developer
sangpatrick211@gmail.com +254795303969 Nairobi, Kenya linkedin.com/in/patrick-sang
Professional Summary
Data-driven economist with 8+ years of experience in remittance flow analysis, diaspora investment trends, and geospatial visualization. Expertise in policy advisory, economic modeling, and data storytelling. Published research on Kenya’s diaspora remittance corridors. Passionate about leveraging open data and GitHub-backed CMS (Mavo) for transparent analytics.
< Work Experience
Senior Diaspora Analyst 2022 – Present
Central Bank of Kenya – Research Dept
• Lead remittance data modeling, forecasting inflows from 6 regions (North America, Europe, Middle East, etc.)
• Developed interactive dashboards using Leaflet + Turf.js that reduced reporting turnaround by 35%
• Collaborated with World Bank on diaspora investment policy briefs, cited in national economic reports.
Economic Data Consultant 2019 – 2022
KNBS & IOM Kenya (Remote)
• Built ATS-friendly reporting frameworks for migration and remittance surveys (N=10,000+).
• Created data pipelines for real-time remittance tracking; increased stakeholder adoption by 40%.
• Presented findings to parliamentary committees on diaspora engagement strategies.
Junior Economist 2017 – 2019
Diaspora Investment Hub (Nairobi)
• Researched diaspora savings and investment products, delivering quarterly remittance trend reports.
• Supported design of Kenya Diaspora Remittance Index; collaborated with FinTech partners.
• Automated data collection from public APIs, saving 15+ hours per month.
Education
MSc. Economics (Data Analytics) 2015 – 2017
University of Nairobi, Kenya
Thesis: "Remittance flows and household welfare in Kenya" – Distinction. Coursework: Econometrics, GIS, Development Finance.
B.A. International Economics 2011 – 2015
University of Nairobi, Upper Second Class
Minor in Statistics; President of Economics Students' Association.
Featured Projects
Kenya Diaspora Remittance Dashboard 2024
Interactive geospatial platform visualizing real-time remittance flows from 6 global regions to Kenya. Built with Leaflet, Turf.js, and Mavo CMS.
Live Demo
ATS-Optimized CV Template 2025
Open-source, Mavo-powered resume template with GitHub backend, PDF export, and schema.org markup for ATS compatibility.
GitHub Repository
Remittance Forecasting Model 2023
Time-series analysis and machine learning model to predict diaspora remittance inflows using macroeconomic indicators.
Interactive Notebook
Core Competencies & Skills
Remittance Analytics
GIS & Spatial Mapping (Leaflet, Turf.js)
Mavo / GitHub CMS
Python (Pandas, GeoPandas)
ATS Resume Optimization
Statistical Modeling (R, Stata)
Data Storytelling & Dashboards
Certifications
Certified Data Analyst (CDA)Data Science Council of America (2023)
Remittance & Migration EconomicsWorld Bank Group / IMF (2022)
GIS for Economic DevelopmentEsri / UNECA (2021)
Languages
English (Fluent)
Swahili (Native)
French (Professional Working)