About me
print("Hello World")
Hi! I am William, a Biotechnologist that was pulled to the Data Science World. As a undergrad kiddo
I began a project with scripting in R to generate a report of microbiota data analysis. That's where
I discovered the power of data for insights. Since then, I have developed my career towards molecular biology,
bioinformatics and data science. I worked on projects from artisanal cheeses microbiota analysis to gut
metagenomic in my PhD. I’m now looking for a position in which I can leverage my technical background to tackle
diverse data challenges and contribute to reach excellent results as a professional data scientist.
What I've done
-
Statistical Analysis
- • Data Summaries;
- • Hypothesis testing (t-tests, wilcoxon and kruskal-wallis);
- • linear regression;
- • Correlations (Pearson and Spearman's correlations);
- • Permanova tests.
-
Data Visualization
- • Bar graphs;
- • Boxplots (T-tests, Wilcoxon and Kruskal-Wallis);
- • Scatterplots;
- • Heatmaps;
- • Network analysis;
- • Dimensional Reduction (PCA, PCoA, NMDS, CCA).
-
Machine Learning
- • Unsupervised Machine Learning: Clustering (hclust, kmeans);
- • Supervised Machine Learning (Random Forests, K-nearest-neighbors and Naive-bayes).
-
Bioinformatics
- • QIIME2: 16S sequencing data analysis;
- • Picrust2: functional profilling of 16S dataset;
- • CZID: web based metagenomic data analysis.
