Juan Nicolas Quintero Quintero
Applied Mathematician And Computer Scientisr
Risskov
Summary
Applied mathematician and computer scientist from Universidad del Rosario in Colombia, specializing in data science and artificial intelligence with a focus on predictive models, computer vision, and natural language processing. Currently pursuing a Master's in Computer Science at Aarhus University, emphasizing algorithms, bioinformatics, and machine learning, with aspirations to continue into a PhD program. Seeking a part-time role to leverage expertise in data science and AI for impactful research-driven or industry-relevant projects. Committed to a problem-driven approach that emphasizes deep understanding of challenges to deliver effective, context-aware solutions while actively learning Danish to enhance integration into the local culture and workplace.
Overview
3
3
years of professional experience
3
3
Languages
Work History
Research Data Scientist
PECCALA
07.2024 - 08.2025
- Develop and evaluate data-driven models to enhance the company's crypto trading decision engine.
- Acquire and process financial time series data from multiple sources to inform strategy testing and analysis.
- Design and implement backtesting frameworks to assess performance and risk of trading strategies over time.
- Build mathematical models of capital evolution and perform statistical analyses to validate hypotheses and model assumptions.
- Conduct research on state-of-the-art techniques in time series forecasting, neural networks, and market behavior modeling.
- Create internal dashboards using Python for visualization and monitoring of model performance and simulations.
Digital, Data and Technology Intern
TAKEDA
01.2024 - 07.2024
- Organized and modeled data from multiple internal sources to support decision-making across teams.
- Built clear, interactive dashboards in Power BI, enabling stakeholders to make informed, data-driven decisions.
- Contributed to real-world evidence (RWE) initiatives by cleaning, integrating, and analyzing healthcare and geospatial climatic data.
- Supporting the development of clustering and classification models to support segmentation and understanding of disease-related patterns.
- Worked with SQL, Databricks, and advanced data cleansing techniques to ensure data quality and consistency.
- Collaborated with other business on omnichannel marketing project to analyze data from healthcare professionals interactions with Takeda's contents
Research Assistant in University
Universidad de los Andes
11.2022 - 10.2023
- Contributed to a national research project modeling Colombia’s energy system to 2050, with a focus on decarbonization pathways.
- Detected anomalies in input/output data and refined calibration for predictive model accuracy.
- Optimized national energy flow models under varying constraints using Switch and PyPSA open source energy system libraries.
- Applied techniques in linear and non-linear optimization, mathematical modeling, and database management.
Education
Master of Science - Computer Science
Aarhus University
04.2001 -
Applied Mathematic and Computer Scientist - Inter-disciplinary programmes and qualifications involving natural sciences, mathematics and statistics
Universidad Del Rosario
07.2024
Skills
- Self-motivation and initiative
- Teamwork and collaboration
- Friendly, positive attitude
- Problem-solving
- Data analysis
- Machine Learning
- Data Visualization
- Image processing
- Deep learning
- Code Optimization
- Power Query and Power BI
- Python physical and mathematical modeling
Timeline
Research Data Scientist
PECCALA
07.2024 - 08.2025
Digital, Data and Technology Intern
TAKEDA
01.2024 - 07.2024
Research Assistant in University
Universidad de los Andes
11.2022 - 10.2023
Master of Science - Computer Science
Aarhus University
04.2001 -
Applied Mathematic and Computer Scientist - Inter-disciplinary programmes and qualifications involving natural sciences, mathematics and statistics
Universidad Del Rosario