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 Guillermina Griffa

Guillermina Griffa

Data Scientist

Universidad de Buenos Aires

Technologies

Insights sculptor, shaping raw information into actionable intelligence.

My Work

Take a look at my latest work.

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SQL Fundamentals

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Building APIs in Python

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Working with the OpenAI API

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Instituto Tecnológico de Buenos Aires | Aug 2019 - Mar 2024

Assistant Professor

• Led practical sessions in the "Biomedical Image Processing" course. • Developed image processing guidelines using Python to evaluate student’s technical skills and progress.
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Universidad Nacional de Córdoba | Mar 2021 - Aug 2021

Teaching Assistant

• Co-led practical sessions in the "Biomedical Signal and Image Processing" course. • Adapted and implemented image processing pipelines in Python based on designs created in Matlab.

CONICET - Universidad de Buenos Aires | Apr 2019 - Present

Scientific Research | Data Scientist

• Designed, led, and conducted a project at Universidad de Buenos Aires to assess structural neuroplasticity induced by motor learning by using multimodal MRI. • Managed and executed an advanced MRI experiment at Harvard University to explore learning’s impact on brain microstructure with high-resolution techniques. • Developed and implemented MRI preprocessing pipelines to enhance data quality, applied advanced mathematical models to extract relevant features, and conducted statistical analyses to evaluate learning-related brain plasticity. • Collected and analyzed behavioral data from motor learning tasks (e.g., computer games using a joystick). • Presented findings at international conferences and published in high-impact journals. • Co-supervised and reviewed Biomedical Engineering theses and mentored junior Ph.D. students.

Corebi | Dec 2018 - Apr 2019

Data Scientist.

• Developed a customer churn prediction model, including data cleaning, exploratory analysis, and feature selection. • Trained Machine Learning (ML) models to support and improve targeted retention strategies.

Universidad Nacional de Córdoba | Mar 2018 - Dec 2018

Research Intern

• Conducted a project to determine mammograms’ validity by detecting the breast tissue density. • Implemented image processing pipelines to extract features and applied Principal Component Analysis (PCA) to optimize computational performance. • Trained machine learning techniques including SVM, k-NN and Random Forest, to determine the optimal model.

My Education

Take a look at my formal education

Doctor of Philosophy (Ph.D) in NeuroscienceUniversidad de Buenos Aires | 2024
Degree in Biomedical EngineeringUniversidad Nacional de Córdoba | 2018

About Me

 Guillermina Griffa

Motivated and proactive Ph.D. with several years of experience in data acquisition, processing, modeling, statistical analysis and visualization. Looking forward to applying my background to data-driven projects.

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