I am Jia Zhao, a spatial data analyst who is just starting out career. Hoping to discuss more topics about urban big data with you.
- 🎓 Currently studying MSc Geographic Data Science and Spatial Analytics at the University of Bristol
- 🎓 Bachelor's degree in Urban and Rural Planning from Central South University in Changsha, China
- 🔭 Professional experience in geographic data modeling and mapping, social statistical data integration and retrieval
- 🤔 Passionate about Urban Big Data, LLMs, Machine Learning algorithms, Statistics and Econometrics
- 💬 Please feel free to check my LinkedIn profile
This is a collection of some of my Data Science projects
- Airbnb-Price-Prediction: Predict house prices through spatial correlation and random forests using Insight Airbnb's Bristol dataset
- Geo-NER-BERT-Training: Train the BERT model to extract and classify geographic entities from text data
- Income-Inference-by-Population-Longitudinal-Data: Use the lag model to predict the influencing factors and correlations of income
- Spatial-Heterogeneity-of-Housing-Prices-Inference: Use GWR to determine what affects the spatial distribution of house prices in Birmingham
- Airbnb-Lisitngs-Data-Prepare: By establishing an airbnb database for subsequent modeling analysis
Ongoing projects:
- Commuting-Decisions-Making-Inference: Determine what factors are influential in driving commuting decisions
- Airbnb-Geotext-Feature: Explore how hosts and travelers perceive cities using airbnb data