Matteo Tomassetti

I am Data Scientist with a PhD in Astrophysics and a high degree of proficiency in data collection, wrangling and visualization; which I acquired after many years of analysis of incomplete and missing data.

Data Analysis: 5+ years experience

Mathematical modeling, N-body and hydrodynamical simulations, working with large datasets (PostgreSQL, MySQL, MongoDB, Elasticsearch, Hadoop, Spark), supervised and unsupervised learning algorithms, Natural Language Processing (NLTK, Gensim, text search and classification algorithms)

Programming: 7+ years experience (in order of proficiency)

Python (numpy, scipy, pandas, scikit-learn), Fortran, Bash scripting, Flask, Bokeh, R, IDL, C/C++

User of several HPC clusters (e.g. LRZ, HeCTOR, Abel, Surfsara, Cyfronet, Hyades)

Visualization: 4+ years experience

Python (matplotlib, seaborn), Latex, Powerpoint, Gnuplot, Gephi

Communication:

Invited speaker to numerous international conferences. Presented talks to collaborators and colleagues from varying disciplines. Mentioned in 6 press releases.

Scientific Writing:

Authored 4 publications in peer-reviewed journals.

Adaptability:

Lived in 5 countries over the past 5 years (Italy, Germany, Israel, USA and UK) adapting smoothly to every environment.