Dr. David S. Batista

• Leading the Automation team working on the system that automatically answers incoming email travel requests and assists travel-agents in handling them. • Developed several modularised Python components with type-annotations, building algorithms to map input text to corresponding unique identifiers in a target knowledge base, e.g: airports, train stations, hotels, geographic locations. • Trained and evaluated models for text classification and fine-grained NER, increasing the performance of the system

• Built and maintained several ETLs using PySpark (Apache Spark) and Hive. • Developed the first prototype to manage ETLs pipelines based on Airflow operators which later went into production and was used by the team. • Built a classifier using NLTK and linear models from scikit-learn, to identify customer reviews mentions to different types of issues with the meal kits • Technologies: Python NLTK, scikit-learn, PySpark, Hive, Airflow