Aylen de Florian
@aylendeflorian
I am a Data Scientist specializing in predictive modeling and data storytelling, with a background in statistical physics.
What I'm looking for
I am an experienced Data Scientist with a strong background in statistics, predictive modeling, and machine learning, especially using Python libraries such as PyCaret and Sktime. I have developed and reviewed Python code and Jupyter notebooks to build forecasting models, evaluated machine-generated code, and delivered models with under 5% prediction error in several financial use cases.
My research experience as a Neuroscience Data Scientist involved simulating neuronal processes, building neural networks with Keras, and presenting findings at national and international conferences. I enjoy turning complex data into clear visualizations and dashboards (Power BI, Tableau) and teaching—I've tutored math and physics since 2012, which sharpens my ability to communicate insights to diverse audiences.
Experience
Work history, roles, and key accomplishments
Developed and reviewed Python scripts and Jupyter notebooks to analyze public datasets and validate LLM-generated code, resulting in selection to a high-quality team for critical projects.
Applied data analysis and time series techniques to improve financial trend predictions, reducing prediction errors to under 5% in most cases, and delivered interactive Power BI dashboards to stakeholders.
Research Assistant
CEMSC3 - UNSAM
Jan 2019 - Jan 2022 (3 years)
Developed algorithms and simulated neuronal processes using Python and MATLAB, built neural network predictive models and clustering analyses for biological data, and presented findings at international symposiums.
Math and Physics Tutor
Independent Tutor
Jan 2012 - Jan 2022 (10 years)
Provided private math and physics tutoring since 2012, using adaptive teaching methods to improve students' understanding and problem-solving skills.
Math and Physics Tutor
Self-Employed
Jan 2012 - Jan 2022 (10 years)
Provided private math and physics tutoring from 2012 to 2022, improving students' understanding and exam performance through tailored instruction and adaptive explanations.
Education
Degrees, certifications, and relevant coursework
University of Buenos Aires (FCEN)
Bachelor of Physics, Physics
Grade: 8.44/10 (50% courses passed)
Activities and societies: Applied statistical and mathematical tools to analyze complex physical phenomena; participated in research projects related to dynamical systems and presented findings.
Pursued Licenciatura en Ciencias Físicas (Physics Bachelor's) and completed 50% of coursework with an average grade of 8.44/10, focusing on statistical and mathematical analysis of dynamical systems and research projects.
National University of Córdoba (FAMAF)
Diploma in Data Science and Machine Learning, Data Science
Grade: 8.67/10
Activities and societies: Gained expertise in data analysis and modeling using Scikit-learn and other statistical and machine learning techniques; learned data visualization with Tableau.
Completed a diploma in Data Science and Machine Learning with applications to economics and business, achieving an average grade of 8.67/10.
University of Buenos Aires (FCEN)
Bachelor of Science in Physics, Physics
Grade: 8.44/10
Activities and societies: Coursework and research projects using statistical and mathematical tools, with emphasis on dynamical systems.
Pursued a Licenciatura in Physical Sciences (Bachelor of Science in Physics), completing 50% of required coursework with an average grade of 8.44/10 and focusing on statistical and dynamical systems analysis.
Availability
Location
Salary expectations
Job categories
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