Projects
Recent Projects
This section showcases brief descriptions of my recent projects, providing a glimpse into my work. For in-depth details and access to all my projects, follow the links to my GitHub page, the central repository for my comprehensive project portfolio.
Social Planning: Visualizations speak loud!
Gaps in Equitable and Inclusive Growth
Highlighting the need for equitable growth and inclusive development moving forward, this project highlights the present stress on underserved populations in the Richmond region and shows the present situation in the city for the underserved populations. It analyzes the issue from different lenses like –
- Educational Attainment for each race
- Median Income for each race
- Comparison with different neighborhood regions
Data Science Applications in Social planning: Community Sentiments
Sentiment Analysis using NLP
Discover the pulse of the community with our project that delves into the sentiments expressed in public comments on the PlanRVA’s Public Engagement and Outreach Report. This endeavor leverages cutting-edge Natural Language Processing (NLP) techniques to classify opinions into supportive, opposed, or skeptical sentiments. Our analysis navigates through the rich tapestry of public feedback on the ConnectRVA 2045 Long-Range Transportation Plan, offering a unique lens into the community’s perspective on transportation development in Richmond, VA.
- Dataset used: ConnectRVA 2045 Technical Report H Public Engagement & Outreach Report
- Python libraries used: torch, transformers, sklearn, pandas, numpy
- Analyzing results: Sentiment trends over time, predominant sentiment categories, project categorization by sentiments .
Real Estate forecast and Social Planning: Forecasting rising housing prices
Housing Price Forecasting
This project forecasts the Zillow Home Value Index (ZHVI) across the Richmond Region, providing a comprehensive estimate of real housing prices by ZIP code. Leveraging advanced forecasting model Facebook Prophet, the project not only forecasts future housing prices but also assesses model accuracy and growth potential across the Richmond region.
Environmental Planning: Usage of Satellite Imagery
Wildfire Risk Assessment
Implemented using the Google Earth Engine platform and Python libraries such as Folium for visualization, this project involves the usage of satellite imagery from past 20 years, to identify most wildfire prone locations in the region.
- Dataset used: Terra Thermal Anomalies & Fire Daily Global 1km
- Python libraries used: folium, geemap, ee, geopandas
- Plotting results: Fire intensity, Wildfire probability
- Motivation
Health Outcomes and Social Planning: Social Vulnerabilities
Analyzing the disproportionate impacts of COVID-19
This research paper explores how COVID-19 has exposed and further exacerbated social inequalities in the US, with a focus on how racial disparities and economic disparities have disproportionately affected the people of the US. The paper, through a county-level quantitative spatial analysis, examines the specific incidence of COVID-19 on vulnerable populations highlighting the need for social change.
- Data Sources: BRFSS, HVRI BRIC, CDC SVI 2020, ACS 2020, Ballotpedia
- Reference
- Motivation
The challenge is significant, yet we find ourselves at a pivotal moment where our potential knows no bounds!
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