Daniele Irto is a Data Engineer at beanTech® since February 2023, focusing on backend development through the creation of ETL scripts in Python for data extraction, transformation, and loading from SQL and NoSQL databases, as well as implementing RESTful APIs using Python frameworks like FastAPI and Flask. Previously, Daniele gained experience as a data analysis intern at AcegasApsAmga, where the analysis of the water meter billing process in Trieste and Padova was conducted, alongside creating performance indicators and descriptive statistics using process mining techniques. Prior internships include analyzing meteorological data at the Istituto Nazionale di Oceanografia e di Geofisica Sperimentale to study correlations related to the Intertropical Convergence Zone and El Niño. Daniele holds a Master's degree in Data Science & Scientific Computing and a Bachelor's degree in Physics from the Università degli Studi di Trieste, along with a scientific high school diploma from Liceo Scientifico A. Einstein.
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