Exploring Anomaly Detection solutions with RNN, LSTM, HTM and oder real-time unsupervised algotithms
10/2016 - today:
Institution: Universität Leuphana Lüneburg, Germany
Education: Principal subjects: Analysing Networks, Storage and Mining of Massive Datasets, Machine Learning, Analysing Data, Quantitative Methods for the Social Science, Forecasting and Simulation, Probabilistic Modelling, Neural Networks
Degree: MS in Management and Data Science
09/2007 ? 03/2012:
Institution: Università degli Studi di Trieste Trieste, Italy
Degree: BSc in Economics, International Trade and Financial Markets
Thesis: On request.
09/2010 ? 08/2011:
Institution: Universität Hamburg Hamburg, Germany
Degree: BSc in Betriebswirtschaftslehre und Volkswirtschaftslehre
Two semesters ERASMUS Program at the Hamburg University
Profile:
I started my career as Business Developer in 2012. Since I was seeking for new challenges, in 2016 I enrolled in a Master in Data Science.
Data Science haves:
Machine Learning, Data Mining, Neural Networks, Random Forest, Exploratory Data Analysis, Network Analysis, Time Series Analysis, Bayesian Modelling, Hierarchical Temporal Memory Models
Programming Languages:
Python (2 years), R (<2 years).
Libraries:
Numpy, Pandas, PySpark, PyTorch, Keras, Matplotlib, ggplot2
Awards on request.
Exploring Anomaly Detection solutions with RNN, LSTM, HTM and oder real-time unsupervised algotithms
10/2016 - today:
Institution: Universität Leuphana Lüneburg, Germany
Education: Principal subjects: Analysing Networks, Storage and Mining of Massive Datasets, Machine Learning, Analysing Data, Quantitative Methods for the Social Science, Forecasting and Simulation, Probabilistic Modelling, Neural Networks
Degree: MS in Management and Data Science
09/2007 ? 03/2012:
Institution: Università degli Studi di Trieste Trieste, Italy
Degree: BSc in Economics, International Trade and Financial Markets
Thesis: On request.
09/2010 ? 08/2011:
Institution: Universität Hamburg Hamburg, Germany
Degree: BSc in Betriebswirtschaftslehre und Volkswirtschaftslehre
Two semesters ERASMUS Program at the Hamburg University
Profile:
I started my career as Business Developer in 2012. Since I was seeking for new challenges, in 2016 I enrolled in a Master in Data Science.
Data Science haves:
Machine Learning, Data Mining, Neural Networks, Random Forest, Exploratory Data Analysis, Network Analysis, Time Series Analysis, Bayesian Modelling, Hierarchical Temporal Memory Models
Programming Languages:
Python (2 years), R (<2 years).
Libraries:
Numpy, Pandas, PySpark, PyTorch, Keras, Matplotlib, ggplot2
Awards on request.
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