Responsibilities & achievements

Monetization and Delivery Team Augmentation using common data engineering tools. Improved vision over map-reduce indexing pipelines and metrics reporting. •Tech Stack: airflow, python, java and tableau

Responsibilities & achievements

Data Science, Engineering and Research department focused on monitoring, evaluating and retraining machine learning and optimization models in production. Lead the improvement, training and deployment of a pricing optimization model impacting major lines of business and vast majority of bids over a year period

Responsibilities & achievements

Project about understanding text and audio customer data building a pipeline using neural translation, speech to text, tone analysis and natural language processing AI technologies. Extracted sentiment, tone, concepts, tf-idf, etc. from 245 days of constant conversation in roughly one day of processing using asynchronous api calls for parallel cloud processing. Predicting customer churn and classifying on-risk customers using historical orders and sales data. Ensemble churn predictive model using gradient boosting decision trees with a ~94% recall and precision