JaimeDGP

me = JaimeDGP(~!data_scientist, ~!software_developer, ~!# researcher, ~!physicist, ~!sport_lover)

me.name = "Jaime" me.lastname = "Díez González-Pardo" # Contact information me.email = "jaime.diez.gp@gmail.com" me.city = ["Santander", "Cantabria", "Spain"]

# Social media me.github = "Jaimedgp" me.linkedin = "Jaime Díez González-Pardo" me.orcid = 0000-0001-7268-9933 me.strava = "Jaime Diez"

me.about = """ As a Data Scientist I have been able to combine my passion for programming with the analytical and problem-solving skills I acquired in my Physics degree. I have always tried to complement my academic knowledge with multidisciplinary skills that allow me to integrate new tools in my work and personal projects. So far I have been able to apply these skills in the different research projects in which I have participated and in which I have always played the role of the main developer of computational tools, such as simulations, predictive modelling and data acquisition programs, and which have led in some cases to the publication of scientific papers in journals and conferences. """

# Software~! Developer at Predictia Intelligent Data Solutions SL Developer(~!years=2023-present, ~!company="Predictia Intelligent Data Solutions SL", ~!description="""Implementing clima and meteo data solutions""" ~!)

# Software~! Developer at CIC Consulting Informatico Developer(~!years=2022-2023, ~!company="CIC Consulting Informatico", ~!location="Monitoring", ~!description="""Memeber of the Datascience team to implement data ~! mining and machine learning solutions""" ~!)

# Researche~!r at University of Cantabria Researcher(~!years=2020-2021, ~!company="University of Cantabria", ~!location="Department of Chemical and Biomolecular Engineering", ~!description="""Participation as a contracted researcher in the ~! project: 'CONTAMINACION ATMOSFERICA Y COVID-19: ¿QUE PODEMOS ~! APRENDER DE ESTA PANDEMIA?' funded by the BBVA Fundation""" ~!)

# External~! Intership at IFCA Intership(~!years=2018, ~!company="Instituto de Física de Cantabria", ~!location="High Energy Physics and Instrumentation group", ~!description="""Main developer of MULTI-DAQ, a data acquisition ~! software for an experiment of the measure of the muon life time ~! in C++""" ~!)

# Master in Dat~!a Science MScDataScience(~!years=2019-2021, ~!institution="University of Cantabria", ~!specialization_module="Data Science Analytics", ~!thesis="""Impact of the restrictions derived from the COVID-19 ~! pandemic on air quality levels: application to urban ~! traffic sites in Spain""" ~!)

# Degree in Phys~!ics DegreeInPhysics(~!years=2015-2019, ~!institution="University of Cantabria", ~!mention="Fundamental Physics", ~!thesis="""Simulation of optical frequency comb generated by ~! semiconductor lasers""", ~!in_addition="""additional training in Computer Engineering's ~! subject Databases""" ~!)

# I~!nternational Baccalaureate IB(~!years=2013-2015, ~!institution="Instituto Santa Clara, Santander", ~!type="High School Studie", ~!information="""Studied simultaneously with 'Bachillerato Nacional' and ~! completed in two years following High School's schedule""" ~!)

MULTI-DAQ

In 2018 I developed a data acquisition program to measure muon half-life written in C++ for the high energy department of the Institute of Physics of Cantabria (IFCA) with the aim of being used in an experiment of the degree in Physics of the University of Cantabria

J Graphics P

During the first two years of university I developed a data analysis program with the aim of learning Python in a self-taught way, which would also help me in the laboratory practices of the degree. Thanks to this I was able to learn several Python modules such as pyqt5, numpy and matplotlib

This Webpage

I started developing this website as a personal project to learn about web development and to increase my knowledge of javascript, HTML and CSS. This project also allowed me to learn about Django and Nginx deployment.

AirQualityCOVID

Code developed for the article "Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban traffic sites in Spain", submitted to Environmental Software & Modelling by J. González-Pardo et al. (2021).

pyAEMET

pyaemet is a python library developed to import and curate meteorological data from AEMET using its OpenData API REST. The library contains a series of methods that facilitate the download and filtering of daily climatological data.