Machine learning/backend engineer

° Utilized feature engineering and model selection to select model with features that provide the best performance

° Trained and implemented machine learning models

° Designed rule-based models and statistical models

° Utilized Spark and internal Spark ETL tooling on large volume of data

° Migrated Elasticsearch query DSL from 1.2 to 6.3 and the backend service

° Build an end-to-end system to serve aggregated photo data

Apply machine learning knowledge and natural language processing techniques to extract business insights from global trade data