אבי בשמת Senior Data Scientist

Developing algorithms and analyzing processes for identifying trends in different content areas .
Development of advanced data analytics solutions and building models based on Machine Learning technology.
Multidimensional data analysis and production of insights that enable the prevention, detection, or prediction of scenarios .
Development of models for identifying complex behavioral patterns (hidden and/or visible) within the information .
Anomaly detection based on semantic relationship analysis between different properties and analysis of statistical structures (Cluster Analysis).
Predictive Analysis and Recommendation Engine Development .
Risk Analytics and Threat Assessment.
Supervised Learning Algorithms: Linear Regression, Logistic Regression, Dempster-Shafer,
K-Nearest Neighbors (K-NN), SVM, Artificial Neural-Networks . Unsupervised Learning Algorithms: Hierarchical DBSCAN, distance-based (K-means) and model-based (GMM).
Explainable Machine-Learning (XML)

Developing an IP Risk Assessment algorithm based on the information gathered on an IP address and an accounting of known attacks. Developing a Domain-Clustering model to protect the clustered domains during DDoS Attack Mitigation, while allowing legitimate traffic through, and to reduce False-Positives.
Optimization under complex and dynamic environmental conditions, based on a genetic algorithm.
Development of an Expert Support System – an analytical model quantifies expert knowledge.

Time Series Analysis: spectral estimation for non-stationary signal (Spectrogram), normalized cross-spectrum (Coherence), spectral parameter estimation and spectral smoothing (ARMA model).
Data Fusion from multiple data sources. Real-time tracking (Kalman Filter) and tracking a process with unobservable states (Hidden-Markov Models – HMM).
Multi-criterion optimization of complex systems: Genetic Algorithm, Monte-Carlo.
Data Association and prediction (Collaborative Filtering).