GABRIELA NOVO DE OLIVEIRA

Data
Analysis
Portfolio

My Expertise

RStudio icon

R studio

Python

Tableau

SQL

GitHub

microsoft_office

Microsoft Office

A bit about me

I have applied various statistical methods for research and work purposes. The ones I have used extensively and am most familiar with are:
Descriptive statistics
Inferential statistics (parametric tests such as T-test, ANOVA, regression analysis and Pearson correlation coefficient, as well as non-parametric tests like Mann-Whitney U test, Kruskal-Wallis test, Spearman correlation coefficient and Chi-square test)
Predictive modeling (linear regression, logistic regression, decision trees, random forest, neural networks)
Time series analysis (ARIMA, STL, ETS)
Bayesian statistics (Bayesian inference, MCMC)
Multivariate analysis (PCA, factor analysis)
Spatial statistics (spatial autocorrelation, geospatial analysis)
Survival analysis (Kaplan-Meier estimator, Cox proportional-hazards model)
Resampling methods (Bootstrapping)

Prioritizing tasks effectively is crucial when managing multiple projects. My approach involves considering the urgency, importance, and overall impact of each task on project goals. Drawing from my experience as an office assistant and administrative assistant, I have honed efficient time management skills and a keen understanding of project objectives. These experiences have equipped me to allocate resources judiciously,
ensuring that each project receives the attention it deserves to meet deadlines and contribute to overarching objectives.

I thrive working independently, leveraging my ability to take ownership of tasks and projects. However, I strongly believe in the power of collaboration. While I excel in independent work, I appreciate the value of relying on fellow teammates when facing difficulties or when questions arise. I see collaboration as a key strength that enhances the quality of work and fosters a dynamic and supportive work environment.

Portfolio of Projects

Click on each project below to see more information and the associated Jupyter Notebook with code and output. This website is still a work in progress and more projects are being included daily.

Last update: June 6, 2024

  • All
  • Matplotlib
  • NumPy
  • Pandas
  • Plotly
  • datetime
  • scikit-learn
  • seaborn

Curriculum

To learn more about my academic degrees and professional experiences, please click on the button below.

Let's get in touch!