Predictive Analytics

• Full business process data exploration for retail, distribution and other horizontals
• Model architecture proposal and in-depth business level presentation
• Self-explainable model proposals in various languages and environments (Python, R)
• Deep Learning models developed in TensorFlow
• GPU based machine learning model training, tuning and inference
• Predictive models operationalization in various environments
• Advanced visualizations and User Experience

 

 

Deep Learning Research

• Latest architectures in image localization and segmentation
• Advanced sequence processing systems based on LSTM architectures
• Special advanced Deep Neural Networks based on Directed Acyclic Graph architecture
• Real time TensorFlow-based systems deployed in embedded architectures

 

 

Customer Data Science projects

• Specifications based analysis engineering
• Systems architecture based on customer required resources and libraries targeting various platforms (TensorFlow, Microsoft R, Python SciKit Learn, Apache Spark ML, R Caret)
• Internally developed Machine Learning libraries (C++ and Eigen) implementing various shallow models and fully connected neural networks
• Solution deployment in target customer environment, cloud based environment (MS Azure, etc) or fully integrated solution deployment (including high-performance computing equipment tailored for customer project needs)