Hello DSSG Solve community!
I was a 2018 Data Science for Social Good Fellow at the University of Chicago, who worked with the Department of Labor in Chile to improve workplace safety by collaborating within a team to build a system that allows them to proactively identify those facilities that are likely to have labor law violations. I found the experience enriching and it was instrumental in determining my current work and research interests.
Currently, I am a Data Scientist and Applied NLP Researcher at Booz Allen Hamilton in Washington, D.C. In my position, I primarily work on machine learning and deep learning projects using unstructured data to solve various tasks for clients. My research focus is on the applications of attention-based models and determining local and global explainability in NLP models.
In my PhD, my research focuses on applied machine learning methods for macroeconomic policy questions, including NLP for central bank communication, combining econometric and machine learning methods to better forecast macroeconomic outcomes, and studying whether behavioral biases exist in trading in financial markets.
| Project name | Organization name | Social impact area | Project summary | Task name | Task status |
|---|---|---|---|---|---|
| Amphan: analyzing experiences of extreme weather events using online data | International Water Management Institute | Education | Cyclone Amphan made landfall in South Asia on May 20, 2020. It was the most damaging storm in the history of the Indian Ocean, rendering hundreds of thousands of people homeless, ravaging agricultural lands and causing billions of dollars in damage. How were people affected by the storm? What were the responses of individuals, governments, corporates and NGOs? How was it covered by local, national and international media, as opposed to individuals' accounts? Who has created the dominant narratives of Cyclone Amphan; and whose voices go unheard? We aim to use online data -- such as Twitter posts, news headlines and research publications -- to analyze people's experiences of Cyclone Amphan. | Project management | done_all Completed |
| Amphan: analyzing experiences of extreme weather events using online data | International Water Management Institute | Education | Cyclone Amphan made landfall in South Asia on May 20, 2020. It was the most damaging storm in the history of the Indian Ocean, rendering hundreds of thousands of people homeless, ravaging agricultural lands and causing billions of dollars in damage. How were people affected by the storm? What were the responses of individuals, governments, corporates and NGOs? How was it covered by local, national and international media, as opposed to individuals' accounts? Who has created the dominant narratives of Cyclone Amphan; and whose voices go unheard? We aim to use online data -- such as Twitter posts, news headlines and research publications -- to analyze people's experiences of Cyclone Amphan. | Project scoping | done_all Completed |