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Nathalia V.
Data Scientist

Python
Bio

Biologist with a Master's and Ph.D. and over 17 years of expertise in data science, bioinformatics, statistics, and business intelligence. Experience spans private sector roles, multinational agribusinesses, and both Brazilian and international research institutions. Responsibilities have encompassed project leadership, genomic database management, and the optimization and automation of internal processes using machine learning and various programming languages. Proficient in Python, R, PowerShell, Pandas, Numpy, Matplotlib, Statsmodel, Scipy, and Excel VBA, as well as machine learning frameworks including PySpark, Azure, Pytorch, Keras, Scikit-learn, and TensorFlow. Additionally, skilled in Big Data and Cloud Computing.

  • Visitor Ph.D student
    10/1/2016 - 3/1/2017

    Completed a sandwich doctorate focusing on genome editing via CRISPR/Cas9 in tobacco.

  • Postdoctoral Researcher
    1/1/2020 - Present

    Developed expertise in planning greenhouse trials and spearheaded the development of CRISPR/Cas edited plants. Demonstrated proficiency in creating and managing detailed data spreadsheets. Conducted comprehensive bioinformatics analysis and performed data analysis using Excel, SQL, R, and Python. Led team coordination efforts to ensure streamlined project implementation.

  • Research Assistant II
    10/1/2012 - 7/1/2013

    Worked in the area of plant transformation and plant tissue culture, focusing on the design of laboratory experiments. Gained experience in optimizing protocols and implementing improvements within the team. Managed and created data spreadsheets to streamline research processes and enhance data analysis. Developed technical expertise in plant tissue culture methodologies and plant transformation techniques. Utilized laboratory tools and software to ensure precise experiment execution and data management.

  • Research Intern and Master's Scholarship Holder
    3/1/2007 - 2/1/2012

    Performed extensive bioinformatics analysis with a focus on the annotation of coffee transcriptome. Developed and analyzed genomic libraries, ensuring accurate and comprehensive interpretation of genetic data.

  • Genetic and Molecular Biology at State University of Campinas
    2014 - 2019

  • Life Science at State University of Londrina
    2006 - 2009

  • Plant Genetic and Molecular Biology at State University of Londrina
    2010 - 2012

  • Deep Learning with Python from A to Z at Udemy
    11/1/2023

  • Time Series Analysis, Forecasting and Machine Learning at Udemy
    11/1/2023

  • Advanced Machine Learning at Alura
    2/1/2023

  • Training in Python for Data Science at Alura
    2/1/2022

  • Training in Statistics with Python at Alura
    2/1/2022

  • Data Science Training at Alura
    2/1/2022

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