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yusra Ghafoor

@yusraghafoor

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Senior Data Analyst at AlphaGeo who built global climate risk scores and a GDP impact model covering 67 countries.

Taiwan

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At AlphaGeo, I built the global hazard data layer, risk scores, and GDP impact model that turn climate projections into location-level risk insights. The hazard pipeline processes NASA climate projections into 15 features and delivers a 170-million-row H3 table in Snowflake.

I designed a climate GDP impact model for 67 countries, translating physical hazards into sector-level losses and modeling how adaptation changes those outcomes. I also developed a flood-adjusted population projection for US census blocks and wrote public documentation and an article on climate migration in America.

Previously, at Addo AI ~ Climate Alpha, I built a COVID-19 ranking system and an Infrastructure Index for US counties. My research at Academia Sinica included a contextual emotion prediction model that improved accuracy by 32%, as well as analysis of COVID-19 and urban narratives.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Analyst

Current

AlphaGeo

Feb 2023 - Present (3 years 8 months)

Built the company's global hazard data layer, risk scores and GDP impact model. Designed and built end-to-end ETL pipelines for climate data, developed risk scoring systems, and led projects from requirements to delivery.

Python R SQL Snowflake AWS ETL Data Architecture Climate Risk Geospatial analysis Uber H3 NetCDF CDO QGIS Data Quality Data Governance Machine Learning regression NLP

Data Researcher

Addo AI ~ Climate Alpha

Oct 2021 - Jan 2023 (1 year 3 months)

Built a COVID-19 ranking system for the USA and an Infrastructure Index for all US counties. Managed and processed climate, health, real estate, and demographic datasets, and led literature reviews and exploratory analysis.

Data Analysis Data Management Python R SQL Visualization literature review Optimization

Doctoral Researcher

Academia Sinica

Sep 2016 - Sep 2021 (5 years)

Built a contextual emotion prediction model from text, improving accuracy by 32%. Analyzed COVID-19 data to track emotional trends and supported urban planning decisions with data analytics.

Python R NLP Sentiment Analysis Data Analysis Google Trends Urban Analytics

Research Assistant

Ubiquitous Computation Lab

Sep 2013 - Jun 2014 (9 months)

Designed nature-inspired clustering algorithms and an intelligent system for mining depression symptom data.

Clustering Data Mining Python R

Education

Degrees, certifications, and relevant coursework

Academia Sinica and National Tsing Hua University

Ph.D., Social Networks and Human-Centered Computing

2014 - 2022

Ph.D. in Social Networks and Human-Centered Computing, with research on social and emotional interaction in cities, data analytics, and scientific research.