Profile Details

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Hire Juan David P.

Colombia

USD 120 /hr

Senior Data Scientist & Mathematical Physicist | AI, ML, and Quantum Computing

Profile Summary

Senior Data Scientist and Mathematical Physicist with 6+ years of experience bridging academic research and industry. I work across applied data science, machine learning, algorithm design, and quantum computing—from problem framing and modelling to robust, production-ready systems. My background combines Mathematical Physics and Applied Mathematics with hands-on delivery in areas such as fraud and anomaly detection, NLP/LLM applications, cybersecurity risk scoring, and smart-city analytics. On the research side, I have worked in mathematical physics, numerical methods, and topological data analysis. I also work at the intersection of Quantum Computing and applied data science—quantum algorithms, quantum machine learning, optimization, and quantum programming—building on a strong foundation in mathematical physics. I bring strong programming and analytical skills, clear technical communication, and a practical approach to turning complex data, mathematics, and quantum methods into reliable insights and solutions.

Subject Matter Expertise

• ★ Quantum Computing
• ★ Data Science
• ★ Artificial Intelligence
• ☆ STEM
• ☆ Image Processing
• ☆ Computer Simulation/Computational Modeling
• ☆ Predictive Modeling & Analytics
• ☆ Machine Learning
• ☆ Deep Learning
• ☆ Statistics
• ☆ Physics
• ☆ Theoretical Physics
• ☆ Mathematics
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Mathematical Physics
• ☆ R

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Market Research, User Research, Meta-Research, Feasibility Study, Technology Scouting, Fact Checking, Gap Analysis, Gray Literature Search, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Business Strategy Consulting, Go-to-Market Strategy Consulting, Digital Strategy Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Product Development Formulation, Recipe Development, Deformulation, Stability/Shelf Life Testing, Product Evaluation, Material Sourcing, Product Validation, Quality Assurance & Control (QA/QC), Product Compliance , Reverse Engineering

Work Experience

Senior Data Scientist

Cívica

January 2025 - Present

Independent Researcher & Data Scientist

Self-employed

January 2019 - Present

Senior Data Scientist

SKG Tecnología

January 2021 - December 2025

Algorithms Engineer

Defense Point

April 2023 - December 2024

Research Fellow

Université Bourgogne Franche-Comté

September 2021 - September 2022

Associate Researcher

Universidad de Los Andes

January 2020 - January 2021

Strategy Consultant

Consultoría e Inversiones Breakthrough

March 2020 - July 2020

Undergraduate Teaching Assistant

Universidad de los Andes

January 2016 - December 2019

Education

Master of Science in Quantum Computing (Department of Engineering and Applied Physics)

Universidad Internacional De La Rioja

March 2025 - October 2026

Master of Science in Advanced Mathematics (Department of Mathematics and Informatics)

Universitat de Barcelona

September 2022 - November 2023

Data Science, Machine Learning & Deep Learning Professional Specialization (Department of Data Science)

Centro de Investigación en Matemáticas Bourbaki

May 2022 - December 2022

Master 1, Mathematical Physics (Math4Phys) (Mathematical Physics)

Université Bourgogne Franche-Comté

September 2021 - September 2022

Bachelor of Science in Mathematics (Mathematics)

Universidad de Los Andes

June 2016 - December 2019

Bachelor of Science in Physics (Physics)

Universidad de Los Andes

August 2014 - December 2019

Certifications

• Source Systems, Data Ingestion, and Pipelines

  deeplearning.ai

  March 2025 - Present

• Introduction to Data Engineering

  deeplearning.ai

  February 2025 - Present

• Data Engineering Essentials

  Coursera IBM

  January 2024 - Present

• Python Project for Data Engineering

  coursera

  January 2024 - Present

• Machine Learning & AI

  Colegio de Matemáticas Bourbaki

  May 2023 - Present

• Ruta a través de la Ciencia de Datos

  Colegio de Matemáticas Bourbaki

  May 2023 - Present

• Aplicaciones Financieras de Inteligencia Artificial

  Colegio de Matemáticas Bourbaki

  May 2023 - Present

• Especialización en Deep Learning (Ruta a través de la Ciencia de Datos)

  Colegio de Matemáticas Bourbaki

  May 2023 - Present

• Data Science Summer School 2022

  Hertie School Data Science Lab

  July 2022 - Present

• Data Science Summer School 2021

  Hertie School Data Science Lab

  July 2021 - Present

• Applied Machine Learning

  Columbia Engineering

  March 2019 - Present

Publications

JOURNAL ARTICLE

Christian Klein, Juan Prada-Malagon, Nikola Stoilov (2023). On numerical approaches to nonlinear Schrödinger and Korteweg–de Vries equations for piecewise smooth and slowly decaying initial data . Physica D: Nonlinear Phenomena.

DISSERTATION THESIS

Juan David Prada Malagón (2023). Time-dependent topological snalysis for cardiovascular disease diagnosis using magnetic resonance . CRAI Universitat de Barcelona - Dipòsit Digital UB.

Juan David Prada Malagón (2020). Quantum fields with dynamical boundary conditions . UniAndes - Séneca Repositorio Institucional.