Natali Sobol

Predictive Analytics Fellow @FDA

San Francisco, CA, US
MOBILE NUMBERS
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WORK HISTORY

Jun 2022 — Present

Predictive Analytics Fellow @FDA

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Silver Spring, MD, US

Conducting methodological research of data science approaches and techniques in risk-based, data-driven site identification- Applying modern statistical approaches, such as data mining, natural language processing, deep learning and predictive analytics to analyze bigger, more complex data and deliver faster, more accurate results- Researching available methods, test their application, and compare results to identify the most robust approaches to enhance comprehensive quality surveillance- Investigating best approaches across servers, networks, and storage in virtual and physical environments, dealing with complex datasets as part of research for enhanced quality surveillance- Applying knowledge in computer science, data science and machine learning in their application of pharmaceutical manufacturing and regulatory science.

EDUCATION

N/A

San José State University

Master's degree, Data Analytics

2011 — 2012

State University of Trade and Economics

Bachelor's degree, Finance and Financial Management Services

2012 — 2013

Beijing Language and Culture University

Chinese Studies

2017 — 2018

Vistula University

Master's degree, International relations

2013 — 2017

Dalian University of Technology

Bachelor's degree, International Economics and Trade

ABOUT NATALI SOBOL

I\'d like to serve the organization to achieve excellence for the organization and self…

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Natali Sobol — Predictive Analytics Fellow at FDA in San Francisco, CA, US | Unifers