Emanuele Malagoli
Data Scientist | Machine & Deep Learning Engineer @ HPA | High Performance Analytics
About
I have earned a Bachelor’s degree and a Master's degree in Mathematics from University of Modena and Reggio Emilia, both full marks with honors. Since August 2020 I hold the position of Machine Learning - Deep Learning Engineer. The skills I've developed through my studies and my work are mainly related to Applied Mathematics, Data Science, Machine Learning, Deep Learning, Computer Vision, Statistical Data Analysis, Anomaly Detection, Predictive Maintenance and Python programming.
Italy
Greater Modena Metropolitan Area
Computer Software
Matematica, Programmazione, Python, Analisi dei dati statistici, Competenze analitiche, Analisi dei dati, Modellazione matematica, Informatica, Elaborazione dati, Raccolta dati, Modellazione statistica, Machine learning, Algoritmi, Data mining, C, R, Matlab, SQL, MySQL, Università
Experience
Data Scientist | Machine & Deep Learning Engineer
HPA | High Performance Analytics
Trento, Trentino-Alto Adige, Italia
Development in a Python framework of artifical intelligence solutions related to: - Computer Vision. - Deep Learning Frameworks Tensorflow 2.X, Keras and Pytorch. - Supervised and Unsupervised Machine Learning Algorithms. - Forecasting. - Implementation of scientific papers related to Machine Learning / Deep Learning.
Data Scientist
HPE GROUP
Modena, Emilia Romagna, Italia
Development in a Python framework of applications related to: - Data Pipeline and Statistical Data Analysis on structured and unstructured databases. - Supervised and Unsupervised Machine Learning Algorithms. - Implementation of scientific papers related to Machine Learning and Deep Learning. - Deep Learning Frameworks Tensorflow 2.x, Keras and Pytorch. - Data Visualization and GUI: Matplotlib, Seaborn, Plotly, Streamlit, Tkinter. - NLP and Text Classification with transformer-based models (BERT). - Predictive Maintenance, Anomaly Detection, Business Analytics, Clustering.
Internship - AI & Data Science
HPE GROUP
Modena, Emilia Romagna, Italia
Education
Alma Mater Studiorum – Università di Bologna
Statistics and AI for Signal and Data analysis
Signal Processing: Fourier-based Transformation, Digital Signal Processing and Digital Filters, Power Spectrum Estimation. Machine Learning: Supervised and Unsupervised Learning, Clustering, Anomaly Detection, Predictive Maintenance. Optimization Methods: LP (Linear Programming), MILP (Mixed Integer Linear Programming), CP (Constraint Programming), EML (Empirical Model Learning). Deep Learning: NN, VAE, CNN, RNN, LSTM, GRU, TCN. AI Paradigms and Architectures: Deep Learning on GPUs, CUDA, Accelerators for DNNs, TensorCores.
Università degli Studi di Modena e Reggio Emilia
Mathematics
Algebra and Coding Theory, Mathematical Analysis, Partial Differential Equations, Differential Geometry of Surfaces, Combinatorics, Statistical Mechanics, Dynamical Systems Theory, Complex Systems, Numerical Analysis, Probabilistic Modeling, Mathematical Optimization , Advanced Algorithms, Parallel computing, Statistical Data Analysis, Computer Science, Regularization Algorithms, Big Data & Machine Learning, Neural Networks. Programming Languages: C, MPI, MATLAB, R (RStudio), Python. Arithmetic Average Exams: 30/30 Master Thesis: Mean value formulas for classical solutions to Kolmogorov equations. Advisor: Prof. Polidoro Sergio.
Università degli Studi di Modena e Reggio Emilia
Mathematics
Algebra, Mathematical Analysis, Numerical Analysis, Mathematical Optimization, Geometry, Computer Science, Physics, Mathematical Physics, Probability Theory, Statistics, Algorithms and Data Structures, Differential Geometry of Curves, Measure Theory. Arithmetic Average Exams: 30/30 Bachelor Thesis: Local and Global Invertibility Theorems. Advisor: Prof. Polidoro Sergio
Emanuele Malagoli's Contact Information
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