MARIA EUGENIA INZAUGARAT
@-s -
¢ Lujan, Argentina
github.com/ugis22
linkedin.com/in/meinzaugarat
g medium.com/@meinzaugarat
S KILLS
- Python(pandas, matplotlib, scikit-learn, numpy, keras, TensorFlow), SQL(PostgreSQL, MySQL), R.
- Machine Learning(linear regression, logistic regression, neural networks, decision trees, clustering), data cleaning,
modeling and text mining.
- Hyphotesis testing, dimensionality reduction, bayesian statistics
E DUCATION- Doctor of Philosophy (PhD). University of Buenos Aires, Argentina- Licenciate in Biological Science. National University of Lujan, Argentina
Open Education
Aug 2018 Statistics with R specialization. Duke University via Coursera
Apr 2018 Applied Data Science with Python specialization. University of Michigan via Coursera
Dec 2017 Bioinformatics Specialization. UC San Diego via Coursera
W ORK E XPERIENCE
2019-now Data Scientist (Remote). Fundacion conocimiento abierto-Argentina
- Analyze data and develop models to generate projects involving visualization of data, natural language processing (NLP), text mining and machine learning.
2019-now Online Instructor (Remote). Data Camp
- Working part-time with the DataCamp team to design and build an online course for data scientist on an introductory topic of text mining. The course is oriented to data scientists and it is entitled ”Regular expressions
in Python”.
2018-now Data Scientist (Remote). Freelancer at Hubstaff Talent
- Work in several projects which involve exploring and visualizing data, perform text mining and sentiment
analysis, image processing and development of neural networks to generate new images- Postdoctoral researcher. RWTH Aachen Uniklinik, Germany- Postdoctoral/PhD researcher. Institute of Immunology, INIGEM-UBA-CONICET, Argentina- Graduated Teaching Assistant. National University of Lujan, Argentina.
- Topics: Matematical Analysis/Advanced matematical Analysis- PhD/Postdoctoral Visiting Scholar. University of California, San Diego, USA.
M ACHINE
LEARNING PROJECTS
• Twitter Sentiment Analysis
- Build a PostgreSQL Database to store tweets taken from a specific subject from Twitter API
- Performed text pre-procesing and data visualization analysis
- Develop a neural network to perform sentiment analysis with Keras
• Predicting Movie popularity
- Developed a model to identify the best predictors of movie popularity, understood as IMDb score.
- Performed exploratory data analysis, data wrangling and preprocessing, create a linear model and bayesian
model and assess prediction accuracy
• Predicting Survival of patients with Hepatitis
- Developed a tree based model to identify the best predictors of survival from a dataset of patients with hepatitis
of different etiologies.
- Performed exploratory data analysis, data wrangling and preprocessing, trained a classifier and assess model
metrics
