Hi, I am Ilse Avalos from Mexico and I applied to be a fellow this year but giving the pandemic, the fellowship was cancelled.

Since my undergraduate degree, I started working part-time in a renewable energy company because I think that the knowledge acquired in the University can be more valuable if you can apply it to real situations and problems. For me, it is important on a project the technical aspect but also learn how to communicate your ideas to the population, that is why that as part of my thesis I developed a dynamic tool that can help to people to understand in a friendly way how much energy they could save in their households with a solar or wind technology with the purpose to contribute on the RE market. My curiosity and desire to understand widely the energy systems gave me the opportunity to be part of the researchers' team of the Mario Molina Centre, where I worked with Dr Mario Molina, here I developed two tools that are used by the Mexican Ministry for Agrarian, Land and Urban Development about the relationship of urbanisation with energy consumption to delimit the urban sprawl regularising or rejecting the contracts for new housing projects that were planned to be far from the city since requiring more infrastructure investment.

On my MSc. I am applying new statistical models and optimization techniques to forecast energy consumption and generation integrating the different types of variables being that the successful policies and regulations are those that during their design include the economic and technical part, but also, the role of people on this process, as well as some behavioural economics and social psychology concepts.

I am a passionate person about social good but also for programming. I can spend happily a lot of time trying to solve problems that I know will be useful for people. I recognise that this pandemic changed our year but I see this as an opportunity to use wisely our skills.

Personal information
Full name: Ilse Ávalos
User name: Iavalos
Organization memberships
Not a member of any organization.
Awards
First 1000 volunteers
Volunteer background
Education: Master's on MSc Energy Systems and Data Analytics (University College London (UCL))
LinkedIn profile
Github profile
Volunteer availability
Start date: July 1, 2020
End date: Aug. 31, 2020
Hours available per week: 20
Volunteering interests
No stated preferences.
Skills
Skill
Beginner
Intermediate
Expert
Computer Science (Algorithms)
Python
Data in Relational Databases
GIS tools
Data in Text Files
Data > 1TB
Geospatial
Experience working on real-world problems using data
Data Visualization
Data Analysis
Random Forests
Semi-Supervised models
Decision Trees
Unsupervised models
SVMs
Neural Networks / Deep Learning
Time Series Models
R
Matlab

Volunteer projects

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