Liying Li Email & Phone Number

Boston, Ma, Us

Boston, Ma, Us

Sunnyvale, California, Us

Sunnyvale, California, Us

Palo Alto, Ca, Us

• Built and integrated services and jobs with Python Flask and Docker, designed demo cases, optimized integration and ingestion processes.• Built efficient ETL pipelines with Python, AWS services, and ELK tools, provided scalable data solutions to address different customer requests and improved infrastructure for the product.• Designed and created interactive visualization dashboards with AWS QuickSight for customers, and automated dashboards creation process with Python for ever-increasing clients.• Analyzed broker-dealer client notes data, applied NLP techniques, and Machine Learning clustering models to provide case processing recommendations for clients.• Deployed cron jobs to automize data integration and ingestion process, encrypted and decrypted customers’ data for security purpose with a cross-functional team.

Palo Alto, Ca, Us

US census application project• Assisted in building the US-census service by retrieving data from US-census website using a REST API and Elasticsearch. Created a Docker image running as a container using Gunicorn and AWS EC2 instances to deploy the application.Anomaly detection for the broker-dealer transaction• Built Isolation Forest model for detecting abnormal transactions. Built several models by using the different number of features and 2,000 out of 60 thousand observations were indicated as anomalies.• Analyzed modeling results by checking the characteristics of the anomalies based on possible rules of anomaly transactions, which showed the anomalies could be the transactions for money laundering with high probability.

Global, Cn

• Worked on strategy solution to attract non-active users. Supported testing strategy in various cities. Achieved 10% re-activation of the non-active users.• Analyzed relevant app data in SQL and Hive.• Supported roll out of the re-activation strategy in ten big cities in China. Increased drivers' service hour by 2 hours per day on average.• Helped with screening fraud behavior with Tableau.

Hong Kong, Hong Kong, Hk

• Analyzed historical data of several futures products with a large capital investment such as reinforced steel bar, polypropylene, and cooking coal.• Developed and applied futures strategy based on mean reversion of polypropylene for a five-minute line.• Reduced retracement and increased net profit by adjusting parameter sensitivity resulting in 100% return rate in the historical data test.

Kowloon Tong, Kowloon, Hk

• Built a stock multi-factor back-test platform based on Python.• Developed factor scores based on financial indices to support investments portfolio. • Analyzed and reported efficiency of those factors.

Master Of Science - Ms, Data Science

Bachelor'S Degree, Economics And Finance