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Oscar Gomez

Data Science Intern
Skills
(Self-evaluation)
Python 100%
Data science 80%
Machine learning 80%
R 70%
JavaScript 70%
Languages
English:
  • Speaking
    70%
  • Reading
    70%
  • Writing
    70%
Professional profile

Mathematics and Computer Science graduate from NYU Abu Dhabi with industry and research experience in Data Science and Machine Learning in various domains (music analysis, credit, education, visualization, explainability).

Work experience

Data Science Intern
nexquare | June 2019 - August 2019 (2 months)

Developed and incorporated an interpretability module for machine learning models processing over 800 million data points across more than 220 schools in over 10 countries.

Major achievement

Integrated the Python and R back-end for the analytics app, allowing seamless use of models developed in both languages

Undergraduate Researcher
new york university tandon school of eng | June 2018 - August 2018 (2 months)

Trained SVMs, Random Forests, and Neural Networks to predict customer credit risk from a FICO home credit dataset. Generated instance explanations for the models based on feature importance.

Major achievement

Won Second Place in the FICO Explainable Machine Learning Challenge

Research Assistant In Machine Learning
new york university abu dhabi | February 2017 - May 2018 (1 year 3 months)

Performed dimensionality reduction with deep autoencoders on the spectrogram of the audio and the extracted MFCCs. Developed an interactive webapp to explore musical similarity.

Major achievement

Led the computational analysis for an Arab / African music collection with more than 10,000 songs.

Education experience
Computer Science
New york university abu dhabi | Undergraduate
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