Jim Yang Email and Phone Number

• Authored monthly newsletters distributed to over 500 foreign missions and international scholars.• Operated and optimized our thousands of contacts through SalesForce and relational databases.• Conducted quality daily research to facilitate informed and effective communication with foreign delegations.• Jointly ran the party’s English website and primarily authored hosted materials.• Delegated presenter role on party introductions and stand-in interpreter in delegation receptions.• As a technical consultant, explained confidence intervals and significance to party and foreign institutions.

• Analyzed 50M+ ride records, identifying trends in flow, pricing, demand using Seaborn and Plotly.• Developed ML models using PyTorch to predict outbound passenger flow and optimize dynamic pricing.• Achieved 95% accuracy with CV model for face mask detection in real time 2fps video processing.• Achieved 99% accuracy with deep clustering model pipelines to identify urgent orders for price surges.• Domains: o Geospatial Analysis: Utilized Folium for heatmaps and visualizations of trip data and spatial patterns. o Time Series Analysis: Applied LSTM and GRU for predicting passenger flow and temporal patterns. o Computer Vision (CV): Implemented real-time face mask detection using video frame processing. o Customer Segmentation: Employed clustering techniques for identifying high-value and urgent orders. o Pricing Optimization: Analyzed ride factors and developed models for dynamic pricing strategies.• Methods: o Data Analysis: Leveraged Python libraries for handling and analyzing large 100 GB+ datasets. o Visualization: Created visualizations with Plotly and Folium to interpret spatial and temporal trends. o Computer Vision: Real-time mask detection with a Convolutional Neural Network (CNN) model. o ML methods such as Lasso regression, deep learning, clustering (K-means, DBSCAN, hierarchical).

• Compiled and prepared visualizations depicting the impact of shocks on various economic indicators.• Managed and organized literary resources for 25% more efficient processing through parallel workflows.• Oversaw responsibilities associated with administrative tasks and other organizational duties.