Juan David Prada Malagón

Senior Data Scientist · Mathematical Physicist

Bridging research and industry through AI, mathematics, and intelligent systems

Barcelona, Spain · Bogotá, Colombia·+34 691 147 108·+57 312 358 9340·pradamalagonjd@gmail.com
Juan David Prada Malagón

Senior Data Scientist and Mathematical Physicist with 6+ years building end-to-end ML/AI systems from scratch across a wide spectrum of industries — cybersecurity, sports, smart cities, government, automotive, high-precision engineering, and scientific research — turning messy, challenging real-world problems into rigorous models and measurable decisions.

Experience

Data Scientist

Cívica · Barcelona, Spain

Jan 2025 — Present

  • UEFA: ticket fraud detection, marketing chatbot, match risk scoring

Senior Data Scientist

SKG Tecnología · Colombia & Spain

Jan 2021 — Dec 2025

  • Head of DS & Applied Math — smart city, transport, government auditing, fraud and decision systems

Algorithms Engineer

DefensePoint · Barcelona, Spain

Apr 2023 — Dec 2024

  • Adaptive Authentication platform — risk model, API, and end-to-end delivery

Scientific Consultant (Freelance)

Freelance — Independent · Worldwide

Dec 2019 — Dec 2025

  • DS/ML products and research collaborations across industry and science

Strategy Consultant

Consultoría e Inversiones Breakthrough · Bogotá, Colombia

Mar 2020 — Jul 2020

  • Mathematical models for investment analysis and competitiveness strategy in business

Education

Master in Quantum Computing

Mar 2025 — Present

Universidad Internacional de La Rioja (UNIR)

Quantum Computing, theoretical and experimental — Quantum Algorithms, Quantum Machine Learning, Quantum Optimization, Quantum Programming (Qiskit, IBM Quantum, D-Wave), Quantum Information, Quantum Hardware, and Post-Quantum Cryptography.

Master of Science in Advanced Mathematics

Sep 2022 — Sep 2023

Universitat de Barcelona

Research in Topological Machine Learning / Topological Data Analysis (TDA); Applied Mathematics, Probability Theory, Numerical Analysis, and Scientific Computing.

Research Fellowship / Master 1, Mathematical Physics (Math4Phys)

Sep 2021 — Jun 2022

Université Bourgogne Franche-Comté

Research fellowship in Mathematical Physics — led “Multi-Domain Spectral Approach for the Computation of Fourier Transform”; Numerical Analysis, Spectral Methods, PDEs, and High-Performance Scientific Computing, contributing to research published in Physica D.

Bachelor of Science, Physics & Mathematics

Aug 2014 — Dec 2019

Universidad de los Andes

Mathematical-Physics, Experimental Physics, and Scientific Computing, combined with Applied Mathematics, Optimization, and Probability Theory.

Certifications

  • Specialization in Deep Learning (Ruta a través de la Ciencia de Datos) — Colegio de Matemáticas BourbakiMay 2022 — Dec 2022
  • Machine Learning & AI — Colegio de Matemáticas BourbakiMay 2023
  • Aplicaciones Financieras de Inteligencia Artificial — Colegio de Matemáticas BourbakiMay 2023
  • Applied Machine Learning — Columbia EngineeringJun 2019
  • Data Science Summer School — Hertie School — Data Science Lab2021 & 2022

Tool Box

Languages

  • Python
  • SQL
  • R
  • C/C++
  • Java
  • Matlab
  • Octave
  • Delphi

Data & Platforms

  • Snowflake
  • Databricks
  • AWS
  • GCP
  • Azure
  • Docker
  • Git
  • Apache Airflow
  • MLFlow

ML / AI stack

  • NumPy
  • pandas
  • SciPy
  • scikit-learn
  • PyTorch
  • TensorFlow
  • Keras
  • Hugging Face
  • XGBoost
  • LightGBM
  • spaCy
  • OpenCV
  • LangChain
  • FastAPI
  • Streamlit
  • Spark
  • PySpark

Quantum

  • Qiskit
  • IBM Quantum
  • D-Wave

Visualization & BI

  • Matplotlib
  • Seaborn
  • Tableau
  • Power BI
  • Qlik

Languages

  • Spanish · Native
  • English · Bilingual (IELTS C1)
  • Catalan · Basic
  • German · Basic (A2)
  • French · Basic (A2)