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Basics

Name David Pérez Carrasco
Label ML & AI Researcher
Email davidperezzcarrasco@gmail.com
Phone (+34) 628152415
Url https://github.com/davidperezcarrasco
Summary Results-oriented Machine Learning/AI researcher with strong analytical skills and a focus on deep learning, artificial intelligence, and data science.

Work

  • 2023.07 - 2024.07
    ML & AI Researcher Intern
    Universitat Pompeu Fabra
    As a member of the ML & AI Research Group at Universitat Pompeu Fabra, I specialize in developing a deterministic action simulator for sequential decision-making problems utilizing Linearly-solvable Markov Decision Processes (LMDP). My focus lies in optimizing algorithmic performance and scalability, particularly in intricate domains, through the refinement of action selection methods and the enhancement of value function approximation techniques.

Education

  • 2022.09 - 2022.12

    Vancouver, Canada

    Bachelor of Science
    University of British Columbia
    Exchange Program
    Coursework:
    • Machine Learning & Data Mining
    • Artificial Intelligence
    • Relational Databases
    • Finding Relationships in Data
  • 2020.09 - 2024.06

    Barcelona, Spain

    Bachelor of Science
    Universitat Pompeu Fabra
    Mathematical Engineering in Data Science
    Honors:
    • Discrete Mathematics
    • Introduction to Programming
    • Data Structures and Algorithms
    • Object-Oriented Progamming
    • Network Science
    • Algorithm Design
    • Probabilistic Graphical Models
    • Information and Codification Theory
  • 2016.09 - 2020.06

    Miami, US

    American High School Diploma
    Academica International Studies

Achievements

  • 2023.12.23
    Finalist in the 2023 AB Data Challenge
    Aigües de Barcelona
    Finalist in the 2023 AB Data Challenge, a competition that aims to promote the use of data science and machine learning to solve real-world problems. My team and I developed a Hierarchical Deep Learning model to detect anomalies and consumption patterns in water usage data and were selected among the top 6 finalists.
  • 2022.04.23
    Contestant at the 2022 IPCP Southwestern Europe Regional Contest
    International Collegiate Programming Contest
    Contestant at the 2022 IPCP Southwestern Europe Regional Contest, representing Universitat Pompeu Fabra and solving algorithmic problems in a 5-hour competition.

Awards

Skills

Python
SQL
R
Matlab
Tableau
PyTorch
Java
JavaScript
C
C++
Julia
AWS
Apache Spark
MPI

Languages

Spanish
Native speaker
English
Fluent
Catalan
Native speaker

Interests

Machine Learning
Artificial Intelligence
Reinforcement Learning
Data Science
Deep Learning
Mathematics
Natural Language Processing
Entrepreneurship
Business Intelligence
Statistics