Data Scientist
2019 - PRESENTEricsson- Developed an algorithm for geolocalization and size estimation of street objects.
- Prevented cybersecurity attacks using anomaly detection algorithms, including isolation forest and robust autoencoders.
- Developed object detection/localization using DenseNet and YOLO.
- Developed a proprietary algorithm for geolocalization and size estimation of street objects.
- Mentored junior data scientists.
Technologies: Computer Vision, Scikit-learn, TensorFlow, KerasData Scientist
2018 - 2018PayPal- Predicted customer churn through machine learning.
- Led label inference and semi-supervised machine learning in order to determine customer presence.
- Improved customer conversion by predicting merchant attribute.
Technologies: Scikit-learnResearch Scientist II
2012 - 2017Eureka Therapeutics- Designed and executed experiments to understand the effects of variables on the system.
- Generated and evaluated biophysical data based on purity, stability, binding, and specificity.
- Used artificial neural network package, NETMHC, to predict the existence of peptide drug targets.
Technologies: Python