Songyang Zhou

Delivered analytics projects for a distribution center and manufacturing facility, integrating ERP, WMS, TMS, and financial data to generate actionable insights. Building automated data pipelines, KPI dashboards, and alert systems to replace manual reporting workflows.

Conducted statistical analysis of housing, infrastructure, and socioeconomic datasets using regression and Difference-in-Differences causal inference in Python. Developed Power BI dashboards and GIS maps to visualize key findings for stakeholders.

Identified potential high-demand energy users for a proposed fuel cell power plant using Google Maps APIs and geospatial transmission network analysis. Conducted operating cost-benefit analysis to evaluate project feasibility.

Designed and executed statistical analyses to assess relationships between transit access and property values using large observational datasets. Built interactive dashboards and visualizations to support stakeholder understanding.

Led end-to-end technical solution design for HD and HD Lite mapping products supporting autonomous driving. Partnered with automotive OEMs to translate system requirements into scalable geospatial data specifications.

Led the design and development of a remote sensing image management system integrating geospatial databases and satellite data processing workflows. Managed the full lifecycle of a self-developed GIS software platform, delivering 50+ features across eight major releases.

Activities and societies: Selected Finalist, Travelers Insurance Business Insights & Analytics Leadership Development Program (2025); Deep Learning Project: Built a CNN-based pneumonia detection model using PyTorch; Evaluated performance using ROC-AUC and precision-recall metrics.

Master of Science in Data Science with coursework in statistical modeling, machine learning, data mining, data visualization, and econometrics. Selected as a finalist in the Travelers Insurance Business Insights & Analytics Leadership Development Program and built a CNN-based pneumonia detection model using PyTorch.

Activities and societies: Research Focus: Environmental monitoring using multi-scale remote sensing data; Published two SCI-indexed journal papers in remote sensing and hyperspectral image analysis; Thesis: Semi-supervised dimensionality reduction for hyperspectral remote sensing imagery.

M. Eng. in Photogrammetry and Remote Sensing with research focus on environmental monitoring using multi-scale remote sensing data. Published two SCI-indexed journal papers in remote sensing and hyperspectral image analysis.

B. Eng. in Geomatics Engineering from KunMing University of Science and Technology.