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caladov/README.md

Hi, I'm Vinicius Calado

I'm a data scientist and software developer with expertise in genomics, phylogenetics, machine learning, and pipeline automation. My work focuses on developing efficient computational workflows for analyzing sequencing data and using machine learning to generate accurate predictions for healthcare.

🔬 Research Interests

  • Comparative Genomics & Phylogenetics 🧬
  • NGS Data Analysis & Variant Calling 🔍
  • Machine Learning for Healthcare 🤖
  • Bioinformatics Pipeline Development 🏗
  • Data Visualization & Statistical Analysis 📊

🚀 Technical Skills

  • Programming languages: Python, R, Bash
  • Bioinformatics Tools: Biopython, ggplot2, ggtree, Pandas, Bowtie2, Clustal Omega, MEGA, Cytoscape
  • Machine Learning: Scikit-learn, Network Analysis, Clustering, Feature Selection, SHAP
  • Statistical Analysis: Generalized linear mixed models, Hypothesis Testing, Correlation Analysis

git heroku linux pandas postgresql python scikit_learn seaborn

📫 Connect with Me

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  1. MBA_datascience_project MBA_datascience_project Public

    This repository contains the Jupyter Notebook for the analysis of the COVID-19 datasets from DATASUS. This project was developed for the MBA in Data Science and Analytics from USP/ESALQ.

    Jupyter Notebook

  2. DR_mutations_MAB DR_mutations_MAB Public

    This repository contains the Python and R code for the analysis of drug resistance mutations in Mycobacterium abscessus.

    Jupyter Notebook 2