Data Scientist

Member of the R&D Team with responsibility development and deploy of data science and machine learning algorithms to support the operations and product and reporting team results to the company CTO. The main tasks are the following:
• Develop an object recognition approach, able to extend the set of classes with low effort using social media images. • Train an algorithm for translating text extracted from social media. • Analyse influencer metrics to extract the percentage of fake followers.  Technologies: Tensorflow, Pytorch, pandas, Flask, Docker.

Research on Human Social Activity Recognition and re-identification associated with the EU H2020 Projects ENRICHME and FLOBOT.
Technologies: libsvm, tensorflow, Matlab, openCV, ROS, Linux, Bash.

Travel bursary for collaboration with the University of Coimbra on a social activity recognition project.

Teacher and founder of the Italian language and culture course. It was created in the context of the International Student Group of the University to create a community of international students and to teach each other's mother language.
Skills

Artificial Intelligence Neural Networks, SVM, Bayesian Reasoning, Ensembles, GMM, HMM,
Clustering, PCA, Localization, Planning, Optimization.
Languages
Reading, writing and speaking competencies for Italian and English.
Coding Python, Matlab, Java, C/C++, SQL ,Prolog, PDDL, Bash, VHDL, Latex.
Databases Mysql, Postgresql, Greenplum, Oracle.
Frameworks ROS, Jupyter, Scikit-learn, Keras, pandas, Tensorflow, Pytorch, libsvm,
Kinect SDK2, OpenCV, Flask, Android SDK, Greenplum, Cognos.
Methodological Software Engineering, Performance Analysis and Benchmarking, Con-
trol Theory, Image Processing, Signal Processing.
Creative Photography, Photo/Video Editing, Photoshop, Lightroom.
Soft Skills Public speaking, reporting, publishing.
Academic Academic research, teaching, publishing.

Cer§fica§ons & Online Courses

AI for Robotics Stanford University on Udacity, Prof. Sebastian Thrun
Machine Learning Stanford University on Coursera, Prof. Andrew Ng
Deep Learning Specialization deeplearning.ai on Coursera, Prof. Andrew Ng.
Topics: Neural Networks and Deep Learning, Improving
Deep Neural Networks, Structuring Machine Learning Pro- jects, Convolutional Neural Networks, Sequence Models.

Awards and Achievements