- Wrangled the data for the visualization usage.
- Created multiple visulzations to understand the need of the market.
- Gained insights from the visualizations to boost the development of the online clothes shopping business.
- Wrangled the data and prepared the data for machine learning model using feather engineering.
- Analyzed and used oversampling to balance the data.
- Built a Gradient Boosting model with a F1 Score of 0.9867 to predict patients with stroke.
- Conducted a spatial analysis to assess heat-related mortality risks across 1487 census block groups in Houston.
- Applied Moran’s I test and spatial generalized linear models (GLMs) to identify the most vulnerable populations based on factors like age, poverty, and access to air conditioning.
- Found that areas outside central Houston showed higher unexplained risks, suggesting the need for targeted interventions.
