Ziyun (Hellen) Wang Email and Phone Number

● Engaged in the development and research of trading signals across 35 major commodities● Constructed backtesting infrastructure for trading signals in commodities trading using Python, Numpy, Pandas on AWS● Performed statistical measures to analyze returns and risks of trading signals; Improved the performance of trend-following multifactor models

● Created algorithm weaving LangChain with LLMs, targeting intricate terminologies in recruitment● Conducted extensive experiments using tokenization, sentiment analysis, and named entity recognition (NER) to extract and refine recruitment-related entities from vast textual data● Achieved a 15% boost in LLM response accuracy by leveraging state-of-the-art NLP techniques and domain expertise

- Developed an additional data pipeline for validation purposes for a real-time Big Data platform using GCP services- Successfully reduced engineering debug workload by 50% through supporting easier testing and better data accuracy in the final data sink- Created a highly-scalable and reliable dataflow pipeline that reads, transforms PB level ads impression/engagement event data with 50,000 QPS and writes to BigQuery sinks using Scala, Apache Beam and Apache Kafka

- Cleaned and preprocessed corpus data from different press and media news- Performed lemmatization and segmentation and trained word2vec models using preprocessed data

- Worked with large-scale conversation datasets using Python; tagged and analyzed data based on slot-filling and feature engineering- Used NLU and text analysis skills to develop a program that explores customers’ potential areas of interests