1. Work experience

Empathy.co – Data engineering intern

June 2020- July 2020

During the Summer of 2020, I worked for Empathy.co, a company which develops search engines and customer experiences inside clients' websites. I worked building an alert system to detect outliers, which will help clients find performance peaks and troughs in their data and predict future trends and possible strategies to follow (make bikinis earlier than other years, design purple swimsuits...). My job was mainly signal forecasting. It was important that the model took long-term growing/diminising trends, as well as seasonal components, and for it to give estimates for days with large amounts of traffic, such as Black Friday or sales. Also, it could not overfit, looking at small details of the previous days (maybe there was bad weather and slightly more users browsed the website), which should not be a big component of the prediction of following days, losing sight of the bigger picture and missing possible outliers. To overcome this difficulty, I designed a series of hybrid models, combining more robust techniques, such as Fast Fourier Transform or autoregression, with more robust methods, such as sequential and convolutional neural networks. You can learn more about this project in this white paper.

Merkle Divisadero – Data scientist

July 2019

During the Summer of 2019, I landed my first job and worked for Merkle Divisadero's Data Discovery team for one month, soon after having won the Datathon organised by the business, together with the Polytechnic School of Engineering in the University of Oviedo. It was a very enriching experience in which I applied what I had learned through books and online university courses to real projects, such as using TensorFlow to build consumer propensity models to predict behaviour along a customer journey and to try to stop them abandoning it half-way.

Aside from this, I wrote scripts to check data integrity with SQL and optimised data clearning and extraction processes in Apache Spark, bringing their execution down by a factor of about 1000.

2. Education

University of Oxford- Mathematics and Computer Science

October 2020- June 2024

I am studying a 4-year course, formed by a joint honours Bachelor's degree in Mathematics and Computer Science (finishing in 2023) and a Master's degree in this same subject (finishing in 2024). I am a member of St Hugh's College.

English School of Asturias- International A-Levels, iGCSEs

September 2006- June 2020

I have studied since Nursery in the English School of a Asturias, a school in Spain following the British education system. I have therefore received nearly all my lessons in English ever since I started and am thus bilingual.

Even though the school is not in the United Kingdom, we take the international versions of British examinations: IGCSEs and International A-Levels. I went straight from Year 7 to Year 9 and therefore graduated one year early than corresponding. I was House Captain in both Primary and Secondary.

3. Exams and Qualifications

University of Oxford

Preliminary Examinations Classification: Distinction

July 2021

International A-Levels

Edexcel International Advanced Level Mathematics: A*

January 2020

  • Core Mathematics 1 and 2- A* (200/200) Full UMS (best mark in the world)
  • Mechanics 1- A* (99/100)
  • Core Mathematics 3 and 4- A* (196/200)
  • Mechanics 2- A* (100/100) Full UMS (best mark in the world)
Edexcel International Advanced Level Physics: A*

June 2020

  • Physics 1 (Mechanics and Materials)- A* (120/120) Full UMS (best mark in the world)
  • Physics 2 (Waves and Electricity)- A* (120/120) Full UMS (best mark in the world)
  • Physics 3 (Practical Skills in Physics I)- A* (54/60)
  • Physics 4 (Further Mechanics, Fields and Particles)- A* (115/120)
  • Physics 5 (Thermodynamics, Radiation, Oscillations and Cosmology)- A* (114/120)
  • Physics 6 (Practical Skills in Physics II)- A* (57/60)
Edexcel International Advanced Level Economics: A*

June 2020

  • Economics 1- A* (93/100)
  • Economics 2- A* (97/100)
  • Economics 3- A* (100/100) Full UMS (best mark in the world)
  • Economics 4- A* (95/100)
Edexcel International Advanced Level Further Mathematics: A*

June 2020

  • Further Mathematics 1- A (85/100)
  • Statistics 1- A* (94/100)
  • Statistics 2- A* (100/100) Full UMS (best mark in the world)
  • Further Mathematics 2- A* (95/100)
  • Further Mathematics 3- A* (95/100)
  • Decision Mathematics 1- A* (90/100)
Cambridge International Advanced Level Computer Science: A*

June 2020

Cambridge International Advanced Level Spanish: A*

June 2020

iGCSEs

Cambridge iGCSE Business Studies: A*

May 2018

Cambridge iGCSE Coordinated Sciences (Double Award) (Biología, Química y Física): A*A* (best mark in Spain)

May 2018

Cambridge iGCSE First Language English: A*

May 2018

Cambridge iGCSE First Language Spanish: A

May 2018

Cambridge iGCSE Foreign Language French: A*

May 2018

Cambridge iGCSE Literature (English): A*

May 2018

Cambridge iGCSE Additional Mathematics: A* (best mark in Spain)

May 2017

Cambridge iGCSE Computer Science: A*

May 2017

Cambridge iGCSE Mathematics- Extended: A*

May 2017

4. Extraacademic Courses

AI for Medical Diagnosis

DeepLearning.AI on Coursera (December 2021)

AI for Medical Prognosis

DeepLearning.AI on Coursera (December 2021)

AI for Medical Treatment

DeepLearning.AI on Coursera (December 2021)

AI for Medicine Specialization

DeepLearning.AI on Coursera (December 2021)

Algorithms (II)

Leetcode (October 2021)

Dynamic Programming (II)

Leetcode (October 2021)

Behavioral Economics

Duke University on Coursera (September 2021)

Data Collection and Processing with Python

University of Michigan on Coursera (September 2021)

Google Get Ahead

Google (August-September 2021)

Fundamentals of Reinforcement Learning

University of Alberta on Coursera (December 2019)

Algorithms Specialization

University of Stanford on Coursera (November 2019)

Combinatorics and Probability

University of California, San Diego, National Research University Higher School of Economics on Coursera (November 2019)

Competitive Programmer's Core Skills

Saint Petersburg State University on Coursera (November 2019)

Shortest Paths Revisited, NP-Complete Problems and What to Do About Them

Stanford University on Coursera (November 2019)

Deploying Machine Learning Models

University of California, San Diego on Coursera (September 2019)

Greedy Algorithms, Minimum Spanning Trees and Dynamic Programming

Stanford University on Coursera (September 2019)

Python Data Products for Predictive Analytics Specialization

University of California, San Diego on Coursera (September 2019)

Tensorflow Developer Professional Certificate

DeepLearning.AI on Coursera (August 2019)

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Stanford University on Coursera (August 2019)

Graph Search, Shortest Paths, and Data Structures

Stanford University on Coursera (August 2019)

Natural Language Processing in Tensorflow

DeepLearning.AI on Coursera (August 2019)

Sequences, Time Series and Prediction

DeepLearning.AI on Coursera (August 2019)

Convolutional Neural Networks in Tensorflow

DeepLearning.AI on Coursera (July 2019)

Deep Learning Specialization

DeepLearning.AI on Coursera (July 2019)

Introduction to Tensorflow for Artificial Intelligence, Deep Learning, and Machine Learning

DeepLearning.AI on Coursera (July 2019)

Meaningful Predictive Modelling

University of California, San Diego on Coursera (July 2019)

Sequence Models

DeepLearning.AI on Coursera (July 2019)

Structuring Machine Learning Projects

DeepLearning.AI on Coursera (July 2019)

Advanced Data Science Capstone

IBM on Coursera (June 2019)

Advanced Data Science with IBM Specialization

IBM on Coursera (June 2019)

Advanced Machine Learning and Signal Processing

IBM on Coursera (June 2019)

Applied AI with Deep Learning

IBM on Coursera (June 2019)

Basic Data Processing and Visualization

University of California, San Diego on Coursera (June 2019)

Databases and SQL for Data Science

IBM on Coursera (June 2019)

Design Thinking and Predictive Analytics for Data Products

University of California, San Diego on Coursera (June 2019)

Fundamentals of Scalable Data Science

IBM on Coursera (June 2019)

IBM Data Science Professional Certificate

IBM on Coursera (June 2019)

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

DeepLearning.AI on Coursera (June 2019)

Introduction to Data Science Specialization

IBM on Coursera (June 2019)

Machine Learning with Python

IBM on Coursera (June 2019)

Neural Networks and Deep Learning

DeepLearning.AI on Coursera (June 2019)

Applied Data Science Capstone

IBM on Coursera (May 2019)

Applied Data Science Specialization

IBM on Coursera (May 2019)

Data Analysis with Python

IBM on Coursera (May 2019)

Data Science Methodology

IBM on Coursera (May 2019)

Data Visualization with Python

IBM on Coursera (May 2019)

Open Source Tools for Data Science

IBM on Coursera (May 2019)

Python for Data Science and AI

IBM on Coursera (May 2019)

What is Data Science?

IBM on Coursera (May 2019)

Algorithms on Strings

Stanford University on Coursera (February 2019)

Algorithms on Graphs

Stanford University on Coursera (September 2018)

Data Structures

Stanford University on Coursera (August 2017)

Algorithmic Toolbox

Stanford University on Coursera (January 2017)

Pre-University Calculus

Technische Universiteit Delft on edX (September 2016)

The Analytics Edge

MIT on edX (July 2016)

User Innovation- A Path to Entrepreneurship

MIT on edX (July 2016)

Biology Meets Programming: Bioinformatics for Beginners

University of California, San Diego on Coursera (April 2016)

Introduction to R Programming

Microsoft on edX (April 2016)

Programming for Everybody (Getting Started with Python)

University of Michigan on Coursera (April 2016)

Basic Statistics

University of Amsterdam on Coursera (March 2016)

Introduction to Python for Data Science

Microsoft on edX (February 2016)

Entrepreneurship 101: Who is your customer?

MIT on edX (April 2015)

Super-Earths and Life

Harvard University on edX (April 2015)

Applications of Linear Algebra (part 1)

University of California, Davis on edX (March 2015)

Bases matemáticas: álgebra

Universidad Politécnica de Valencia on edX (March 2015)

Bases matemáticas: números y terminología

Universidad Politécnica de Valencia on edX (February 2015)

Introduction to Game Design

MIT on edX (January 2015)

5. Language Certificates

Cambridge English Certificate of Proficiency in English (C2)

June 2016

6. Talks and Conferences

Educación y liderazgo de la mujer

Consejo Escolar de la Comunidad de Madrid (10th March 2021)

La mujer, la niña y la ciencia

Everis Foundation (11th February 2021)

Presentación Alianza STEAM

Spanish Ministry of Education (11th February 2021)

DevFest Spain 2020: Despertando a la próxima generación de "chicas tech"

Google Developer Groups Spain, Women Techmakers Spain (17th October 2020)

7. Awards and Distinctions

TensorFlow Developer Certificate

October 2021

St. Hugh's College Scholarship for Undergraduates

October 2021

Generation Google Scholarship EMEA 2021/22

May 2021

Fundación María Cristina Masaveu Degree Scholarship

January 2021

International Olympiad in Informatics (IOI 2020)- finalist

October 2020

Iberoamerican Informatics Olympiad (CIIC 2020)- silver medal

September 2020

Spanish Informatics Olympiad (OIE 2020)- gold medal and prize for the highest female score

April 2020

Divisadero Datathon 2019- winners with the lowest MAE and prize to the best business idea

July 2019

Spanish Informatics Olympiad (OIE 2019)- prize to the highest score with Python y and to the highest female score

April 2019

VIII Asturian Informatics Olympiad- winner, Bill Gates Honourable Mention to the highest score in Sixth Form and Ada Lovelace Honourable Mention to the highest female score

March 2019

Cambridge International Examinations High Achievement Award- Highest Mark in Spain in the iGCSE Co-ordinated (Double) Sciences

August 2018

Cambridge International Examinations High Achievement Award- Highest Mark in Spain in the iGCSE Additional Mathematics

August 2017

8. Other Merits

Chairwoman of the Spanish Girls' Informatics Olympiad

October 2020- present

I organise the competition and the Spanish participation in the European Girls' Olympiad in Informatics (EGOI). I also train students from beginner to advanced-competitive level totally for free during the school year in preparation for the competition. I design problems on algorithms and applied Mathematics for the competition.

Member of the Scientific Committee, problem-setter and tester of the Spanish Informatics Olympiad

October 2020- present

I design and choose problems that test for algorithms and applied Mathematics skills for the competition. As a tester, I try to break problems designed by others and find loopholes in the test cases.

Computer Science Ambassador at the Universidad de Oxford

November 2021- present

I was chosen by the Department of Computer Science to be an Ambassador, representing the Department in outreach activities, with the aim of increasing diversity in the student body. This includes talks to schools explaining my projects and helping to organise open days and other events.

Instructor and "Godmother" of C1b3rwall Academy

2021/22 Edition

I was an instructor of C1b3rwall Academy 2021/22, where I taught about algorithmic bias. C1b3rwall Academy is an online course with tens of thousands of students all over the world every year. I was also the godmother of this edition, which means I was the representative and image of the course on social media.

Udemy "Competitive Programming" Online Course

Summer 2021

During Summer 2021, I created a best-selling online course called "Competitive Programming", where I taught graph algorithms, dynamic programming and game theory, among other topics useful for competitors. I now have over 7000 students from 148 countries.