Juan David Prada Malagón

• Ticket Fraud Detection (UEFA Champions League final): led end-to-end development of a fraud detection application, from requirements and data analysis to modeling, deployment (Dockerized, Snowflake), and stakeholder communication — identifying suspicious applicants, bots, and anomalous behavior
• Marketing Chatbot: designed and implemented a semantic chatbot on structured/unstructured data for UEFA's marketing team, using NLP and LLM prompting, hosted on Snowflake
• Match Risk Assessment: built a risk-scoring algorithm analyzing security and operational risk before, during, and after football matches, with dashboards for stakeholder communication

• Head of the Data Science & Applied Mathematics area, leading end-to-end analytics and ML projects for smart city, public sector, transportation, and government auditing use cases
• Speed Prediction Algorithm (Bogotá): traffic speed prediction for a government smart city platform using large-scale sensor data
• Fraud Detection in Government Contracts: anomaly detection algorithm for the Auditoría General de la República (AGR) flagging inconsistencies and suspicious correlations in public contract data
• Traffic Fines Decision Algorithm & Photo Infraction Decider: rule-based and ML decision systems validating sensor-based traffic infringement evidence for the National Police and Secretary of Mobility
• TransMilenio predictive maintenance: time series and deep learning system assessing bus maintenance needs and driver performance for Bogotá's public transport

• Product Manager and Algorithms Engineer for an Adaptive Authentication platform, owning the full lifecycle: requirements, algorithm/risk model design, backend development, database integration, testing, and deployment
• Engineered an API that dynamically determines authentication level per login attempt based on contextual risk, historical telemetry, and behavior patterns (IP, device, geolocation, language, local time)
• Applied data science to cybersecurity risk management, reducing noisy security signals and false positives while evolving traditional MFA into a dynamic, risk-based decision system

• Delivered services spanning applied Data Science & Mathematics, ML/AI products, and research collaborations
• Worked with a broad, multicultural range of clients across industries including Finance, High-Precision Engineering, Manufacturing, Government, and Scientific Research

• Analyst of businesses and investments, building mathematical models to support strategy design for competitiveness

• Led the research project “Multi-Domain Spectral Approach for the Computation of Fourier Transform”
• Developed numerical analysis algorithms in MATLAB to reduce resolution error in partial differential equations, with applications to medical imaging accuracy

• Researcher for Project INV-2019-84-1833, Ministerio de Ciencias — Topological Phase Transitions and Non-Commutative Geometry in Quantum Electrodynamics
• Research in Topological Machine Learning and Topological Data Analysis

• Taught Physics I & II, Mathematical Methods for Physicists, Particle Physics, and Differential Equations
• Supported students at the Problem Solving Center

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.

Universitat de Barcelona

Advanced studies in Applied Mathematics, Probability Theory, Numerical Analysis, and Scientific Computing, with research in Topological Machine Learning and Topological Data Analysis (TDA).

Centro de Investigación en Matemáticas Bourbaki

Professional specialization program, Mexico.

Université Bourgogne Franche-Comté

Research fellowship in Mathematical Physics — Numerical Analysis, Spectral Methods, Partial Differential Equations, and High-Performance Scientific Computing, contributing to research published in Physica D.

Universidad de los Andes

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