Biologist with a master's degree and Ph.D., and over 17 years of experience in areas such as data science, bioinformatics, statistics, and business intelligence. I have an intrinsic passion for problem-solving and innovation, which drives me to approach challenges in an objective, proactive, and effective manner. This unique integration in my professional journey has unfolded in diverse environments, including private companies, multinational agribusinesses, and prestigious research centers both in Brazil and internationally. Throughout this journey, I took on project leadership roles, managed databases, and promoted the optimization and automation of internal processes, leveraging the application of machine learning and various programming languages.My expertise spans a wide spectrum of tools and languages, including Python, R, PowerShell, Pandas, Numpy, Matplotlib, Statsmodel, Scipy, Excel VBA, as well as proficiency in Machine Learning with PySpark, Azure, Pytorch, Keras, Scikit-learn, and TensorFlow. I also have solid experience in Big Data and Cloud Computing.My engagement with research and data science is driven by a researcher's approach coupled with the expertise of a data scientist, enabling the extraction of valuable insights and the development of strategic solutions grounded in robust data.My soft skills, enriched throughout my journey, include proactivity, problem-solving skills, team leadership, and a natural inclination for innovation. I am committed not only to the efficient execution of projects but also to the creation of an environment conducive to collaboration and continuous development.
-
Data Team LeadIqviaBrazil -
Data Scientist And Biostatician - Real World EvidenceOracle Mar 2024 - PresentSão Paulo, SpI work as a Data Science Project Manager, responsible for direct client interaction and structuring projects according to their needs. I outline priorities, manage activities, and maintain communication with other Oracle teams involved in the projects.I am responsible for data analysis in the fields of health and biology, including data from DATASUS, Public Health, Epidemiology, Anvisa, among others. I perform descriptive analyses for epidemiology and demographic data, as well as inferential and predictive statistics. I am also responsible for ETL processes, implementing Data Lakes, Data Warehouses, and cloud automation.I manage an internal project focused on implementing cloud-based data analysis using a Data Lake to automate data extraction and analysis processes. I coordinate an innovation project in Data Science, concentrating on implementing Machine Learning tools, developing interactive dashboards, and other systems that add value through advanced data analysis.I design statistical frameworks and perform data analysis for Non-Interventional Studies (NIS). Moreover, I specialize in advanced modeling techniques, including microsimulation modeling, to predict complex scenarios in Health Economics. I also develop predictive models and forecasting (Time Series) for Budget Impact Analyses in pre- and post-drug incorporation phases, among other applications.As a leader, I guide and develop interns, applying people management techniques, promoting professional development, and overseeing daily activities. -
Project Manager - Data Science And BioinformaticsGdm Genética Do Brasil Mar 2023 - Sep 2023Cambé, Brazil- Coordinated more than 40 projects in total, overseeing the entire process from conception to result monitoring and team development. This experience has provided me with a solid foundation in project management, enabling active contributions to the company's strategic initiatives.- Created and optimized supervised and unsupervised machine learning models in genetics projects using Python, R, and PowerShell.- Applied advanced algorithmic techniques to extract meaningful insights from genomic datasets and worked in the field of bioinformatics. - Spearheaded the structuring and management of the Blast database (genome annotations) with data from over 6 plant varieties.- Implemented the use of management tools, including Monday, MySQL, and Planner, to optimize processes and ensure operational efficiency.- Led negotiations and established 4 strategic partnerships with research centers, third-party companies, and startups, aiming at the development of research projects and service provision. - Developed data analyses to minimize the risks of errors and assessed the feasibility of development/financial investment in projects through machine learning tools. -
Regulatory Affairs TraineeGdm Genética Do Brasil Jun 2022 - May 2023Cambé, Brazil- Successfully led the implementation of automation processes in research projects, notably in the development of protocols for tracking genetically modified organisms (GMOs).- Developed a new alternative for data collection, such as the automation of spreadsheets for recording information on new cultivars. - Prepared dossiers and regulatory reports, facilitating the approval of products and genetically modified organisms both in Brazil (CTNBio) and internationally (USDA, EFSA). -
Researcher In Biotechnology And Bioinformatics - Postdoctoral Level (Funded By Cnpq And Corteva)Embrapa (Brazilian Agricultural Research Corporation) Jan 2020 - May 2023Londrina, Brazil- Coordinated 7 projects, overseeing the implementation of new laboratory strategies and conducting research for the development of biotechnological products. I also performed bioinformatic analyses, including Gene Editing, Promoters, RNAseq, and Genome.- Led the automation of internal activities and processes, including the development of scripts to automate gene editing identification, resulting in increased operational efficiency.- Organized data spreadsheets using tools such as Excel, manipulating genomic databases, and conducted data analyses using Excel, as well as SQL, R, and Python to extract insights. - Utilized Generalized Linear Mixed Models (GLMM), Generalized Linear Models, Time Series, linear regression, and logistic regression to develop statistical and machine learning models to address agronomic problems. -
Researcher In Plant Genetics And Breeding - Ph.D. Level (Funded By Fapesp)State University Of Campinas (Unicamp) Mar 2014 - Jul 2019Campinas, Brazil- Developed a project that successfully implemented a gene editing protocol in the laboratory. Also supervised 5 projects, 4 technicians, and 1 master's researcher during this period. - Conducted data analyses using Excel VBA and R, ensuring accuracy and efficiency in interpreting complex datasets. I performed statistical analyses, covering both descriptive and predictive statistics.- Implemented techniques such as ANOVA, PCA, Time Series, correlation analysis, and hypothesis testing to gain statistically robust insights. -
Researcher In Synthetic Biology And Bioinformatics - Doctoral Exchange Level (Funded By Fapesp)Norwich Bioscience Institutes (Earlham Institute) Oct 2016 - Mar 2017Norwich, Inglaterra, Reino Unido- Led the creation and management of Excel spreadsheets, ensuring organization and traceability of project data. - Conducted bioinformatics data analyses using programming languages such as Python, SQL, and R.- Applied advanced bioinformatics techniques to interpret and extract meaningful insights from complex datasets.- Participated in scientific and management discussions in English, gaining experience working with a dynamic, diverse, and multicultural team. -
Research AssistantMonsanto Company Oct 2012 - Jul 2013Brazil- Conducted the design and planning of experiments in tissue culture, ensuring effectiveness in data collection.- Implemented and led the optimization of experimental protocols, aiming to increase efficiency and precision. This included optimizing protocols for genetic transformation of sugarcane and laboratory processes. - Led the creation and management of data spreadsheets, ensuring organization and transparency of information. I also participated in data collection, recording, and analysis, contributing to informed decision-making. -
Researcher In Genetics And Molecular Biology - Master'S Level (Funded By Cnpq)State University Of Londrina (Uel) Mar 2007 - Feb 2012Londrina, BrazilConducted a research project for the comparison of genotypes among coffee plants, exploring genetic variations to identify desirable plant traits.Utilized advanced bioinformatics tools for genome analysis and employed computational methods in the interpretation and identification of relevant genetic patterns.Conducted practical experiments in laboratory, greenhouse, and field trials, employing advanced statistical techniques in the interpretation of experimental data. -
Undergraduate Research Assistant In Genetics - "Scientific Initiation" Program Funded By CnpqParaná Agronomic Institute (Iapar) Jun 2006 - Feb 2010Londrina, Brazil- Participated in research projects aimed at conducting the coffee plant transcriptome, contributing to the construction of genomic libraries and the identification of relevant genes.- Conducted specialized laboratory analyses related to genomic studies and performed data analysis from laboratory bench experiments.
Nathalia Volpi E Silva Skills
Nathalia Volpi E Silva Education Details
-
Plant Molecular Biology -
Plant Genetic And Molecular Biology -
Genetic And Molecular Biology
Frequently Asked Questions about Nathalia Volpi E Silva
What company does Nathalia Volpi E Silva work for?
Nathalia Volpi E Silva works for Iqvia
What is Nathalia Volpi E Silva's role at the current company?
Nathalia Volpi E Silva's current role is Data Team Lead.
What schools did Nathalia Volpi E Silva attend?
Nathalia Volpi E Silva attended Universidade Estadual De Campinas, Universidade Estadual De Londrina, Universidade Estadual De Londrina.
What skills is Nathalia Volpi E Silva known for?
Nathalia Volpi E Silva has skills like Cultura De Tecidos, Biologia Molecular, Pesquisa, Molecular Biology, Genetics.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial