Senior Data Scientist2019 - PRESENTAdobe
Technologies: Machine Learning, Deep Learning, Statistics, Python, SQL, GCP, Airflow, Newrelic, InDesgin
- Developed AI-driven filters to help marketers to extend their audience using historical and real-time data of campaigns' success and failure. Results are a lift of up 25% on the audience and a boost of about 7% on the success rate.
- Created a machine learning pipeline to score leads behavior at different stages of their marketing journey [project currently under development].
- Automated orchestration of multiple dockers and dataproc at different stages of the machine learning development cycle using Airflow DAGs.
Data Scientist2017 - 2019SAP Labs
- Developed real-time monitoring of procurement spendings to propose materials for (re)negotiated contracts. Procurement strategic purchasers can be able to reduce the processing time from an average of 2 months to 1 day.
- Assigned a risk score to each purchase requisition in order to automatically approve it based on SAP WorkFlow data. Reduced the approval time-interval to seconds and improved consistency in approve.
- Reduced the processing time, improved the consistency and set up a new platform for fraud detection for AI-driven matching of an invoice to an account to be charged for an invoice without purchase orders.