Projects

Done and work in progress

*

Resilience, with R

Different tools for raise resilience. [Work in progress]

COVID-19 in Mexico: Relationship among urban characteristics and contagious/death rates

Exploratory and data-driven analysis of COVID-19 in Mexico.

GI·ES: Linking Green Infrastructure to Ecosystem Services

Spatial and temporal analysis in peri-urban areas to maximize benefices of Green Infrastructure.

Water Societal Metabolism

Examinating limits of growth of water use.

About me

I am an Industrial Engineer with 10+ years of experience as advisor and project manager in Logistics, ERP, Business Intelligence, and Sustainability. I have led multiple implementations in Enterprise Resource Planning (Aasasoft and Odoo), and BI (Bitam, KPIOnline and Tableau). Moreover, I have supervised and conducted training programs to transfer requirements to interdisciplinary teams within all hierarchical levels, and in different productive sectors (retail, financial and academic sectors). Years ago, I understood that a triple bottom line approach is essential to measure success from KPIs, which motivated me to redirect my profile towards Sustainability and Data Science.

Since then, I have specialized in academic research on methodologies as Sustainability Balanced Scorecard, Trade-offs and synergies of Sustainable Development Goals (SDGs), GHG inventories, Ecosystem Services and Backcasting. In addition, I have researched and published case studies in Mexico and Spain about the Nexus WEFL (water, energy, food and land), climate change and societal metabolism; using quantitative analysis (R), Spatial Analysis (QGIS), and data wrangling and processing (SQL, Tableau Prep).

My background has given me the opportunity to work with multi-cultural and interdisciplinary teams. Also, it has enabled a continuous learning process (I am a MOOC-holic) in aspects of programming, data science, and data visualization, which has improved my abilities to communicate and publish technical results among stakeholders.

I am enthusiasm for analyzing climate change with a systemic-thinking approach, applying green infrastructure for adaptation projects. I hope that one day, every neighborhood will have an urban garden and an arboretum.

Interests

  • Complexity
  • Data Science
  • Spatial analysis
  • Green Infraestructure

Education

  • PhD in Sustainability Science, 2020

    Universitat Politècnica de Catalunya (UPC)

  • MSc in Sustainability Science and Technology, 2015

    Universitat Politècnica de Catalunya (UPC)

  • MSc in Logistics, 2007

    Zaragoza Logistics Center

Skills

Rlogo

R

icons8-tableau-software

Tableau

Desktop & Prep

QGIS

QGIS

netlogo

Netlogo

microsoft-sql-server

SQL

mysql

MySQL

invest-logo

InVEST

python

Python

Learning

vensim

Vensim

Learning

Experience

Non-academic

 
 
 
 
 

Senior Project Manager and Business Intelligence Specialist

JLC Corporation

Jan 2010 – Aug 2013 Mérida, México

Responsibilities include:

  • Managed BI and Enterprise Resource Planning (ERP) implementations.
  • Performed big data analysis, pre-processing raw data, data cleaning and data wrangling.
  • Developed ETL processes (Extract-Transform-Load) for databases (SQL and MySQL).
  • Designed dashboards to present reports to stakeholders.
  • Trained and supported customers.
 
 
 
 
 

Junior advisor

UNIFICA Consultoría

Jun 2006 – Mar 2007 Mérida, México

Industrial processes:

  • Designed flowcharts for processes standardization.
  • Wrote documentation for ISO-9000 certification.

Main Accomplishments

MOOCs and Certificates

Specialization: Python for everybody

This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
See certificate

Spatial Data Science and Applications

This course defines spatial data science and answer why spatial is special from three different perspectives - business, technology, and data in the first week. It includes four disciplines related to spatial data science - GIS, DBMS, Data Analytics, and Big Data Systems, and the related open source software’s - QGIS, PostgreSQL, PostGIS, R, and Hadoop tools.
See certificate

Systems Thinking In Public Health

Problems in public health and health policy tend to be complex with many actors, institutions and risk factors involved. If an outcome depends on many interacting and adaptive parts and actors the outcome cannot be analyzed or predicted with traditional statistical methods. Systems thinking is a core skill in public health and helps health policymakers build programs and policies that are aware of and prepared for unintended consequences.
See certificate

Ecosystem Services: a Method for Sustainable Development

scientific (technical), economic, and socio-political dimensions of the concept through a mix of theory, case-studies, interviews with specialists and a serious-game
See certificate

Objetivos de desarrollo sostenible para América Latina y el Caribe

Analizar los ODS y la complejidad derivada de las interacciones de las dimensiones sociales, económicas y ambientales del desarrollo.
See certificate

Specialization: Data Science

This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
See certificate

Sustainability of Social-Ecological Systems: the Nexus between Water, Energy and Food

Complex social-ecological system and to describe its water, energy and food metabolism in the form of a pattern, as well as to map the categories of social actors
See certificate

Writing in the Sciences

This course teaches scientists to become more effective writers, using practical examples and exercises. Topics include: principles of good writing, tricks for writing faster and with less anxiety, the format of a scientific manuscript, peer review, grant writing, ethical issues in scientific publication, and writing for general audiences.
See certificate