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Knowledgeable and experienced specialist with a combination of analytical, mathematical, statistical and machine learning background, software development skills and 19-year domain expertise in Oil and Gas industry. Team lead for implementation of an automated, real-time computational monitoring solution based on Digital Operational Twins. Novel technology deployment expert with versatile experience in research, development, and implementation of integrated Exploration & Production projects. Technology innovator and product owner of solution for geologic and financial risk evaluation, uncertainty quantification and scenario testing in appraisal and petroleum economicsExpert in Multivariate Statistics, Predictive Analytics, Data Science and Machine Learning applications for Oil and Gas industry
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Senior Data ScientistAdvanced Agrilytics Apr 2021 - PresentIndianapolis, Indiana, UsBuild and deploy data driven solutions for agriculture -
Chief Data ScientistSensoleak Global, Inc. Mar 2018 - Sep 2020Houston, Texas, UsProject lead: industrial AI, automated ML, computational monitoring solutions; predictive analytics, data mining, advanced statistics for massive datasets; IoT, SCADA, IT/OT data analysis, digital twins, complex industrial systems; hydraulic modeling; fluid dynamic; chemical engineering; combining data and workflows from different sources and provenances; anomaly detection, localization and interpretation; and uncertainty quantification, advanced visualization and automated decision making• Designed, implemented, customized and trained industrial data driven ML solutions for complex industrial systems (O&G intrastate pipelines), guided by physics (fluid dynamic, hydraulic modeling) and engineering using dynamic multi source dataset (IoT and periodic data, asset info, etc.)• Managed multidisciplinary team of data scientists, engineers and software developers to design, implement, test, deploy and run proofs of concept (PoC)• Combined roles of machine learning technology manager, product owner, and project manager• Partnered with clients and communicated with business development groups, novel technology testing departments, research centers and customers -
Senior Geo Scientist, Predictive AnalyticsNeos Geosolutions Aug 2015 - Jan 2018Pleasanton, California, UsPredictive analytics; machine learning; data mining; quantitative multi-physics integration and visualization; multivariate statistical techniques; integrated multi-disciplinary workflows; stochastic volumetric analysis; scenario testing; decision making; appraisal; resource estimation; play analysis; and risk and uncertainty quantification• Designed and implemented new analytical and machine learning workflows, enhanced capabilities of existing methods to make decisions on multi-physics interpretation, block evaluation, volumetric analysis, geological risk quantification and uncertainty analysis• Worked with broad team to develop, implement, test, deploy, and apply these technologies for exploration projects• Communicated with clients and research groupsRegions: Middle East, Russia, Kazakhstan, South America -
Seismic Uncertainty Analysis Product ChampionSchlumberger Geosolutions Nov 2012 - Jan 2015Houston, Texas, UsProduct: Seismic Uncertainty Analysis (SUA)Keyword: Earth model building, depth imaging, anisotropy, tomography, Bayesian approach.Area: Geo-modeling and advanced applications (Seismic Uncertainty Analysis); Earth model building; depth imaging; anisotropy and its impact on Earth model building; uncertainty and risk analysis; structural uncertainty; impact of model building uncertainty on geological target positioning• Conceived and developed new data driven methods or enhanced capabilities of existing statistical methods for Earth Model Building, depth imaging and uncertainty analysis• Worked with broad team to develop, implement, test, improve, deploy and commercialize these technologies• Built relationships with internal and external customers to support gathering of user requirements• Planed, conducted and evaluated broadly defined research and projects assignments of major scope, importance and complexity• Communicated with clients• Provided technical guidance to engineers and technicians, mentored junior members• Prepared publications, training courses, commercial presentation and marketing materialsRegions: Gulf of Mexico, North Sea -
Quantitative ResearcherCentral Geophysical Expedition Jun 2001 - Oct 2012RuAdvanced applications of seismic interpretation; uncertainty and geological risk analysis; assessment of structural uncertainty; geo-statistics and applications; volumetric analysis; stochastic resources and reserves estimation; data mining, machine learning; feature engineering; pattern recognition; outlier detection; data fitting; stochastic methods of seismic-based classification; attribute analysis; statistical techniques for automated fault interpretation- Researched, designed, prototype, developed, implemented and deployed new data driven methods, workflows, and tools for seismic interpretation and geological risk analysis; designed solution and its software implementation for risk and uncertainty modeling and quantification in volumetric analysis- Deployed statistical technology for structural uncertainties quantification- Combined roles of researcher, product owner, and production project executive- Led and executed 30+ projects involving volumetric analysis, structural uncertainty and geological risk quantification- Provided training, support, consultations, and promoted technical sales- Prepared and presented multiple commercial and research presentations, publicationsRegions: South-East Asia, North Africa, Middle East, South America, Kazakhstan, Timano-Pechera, Western Siberia, Sakhalin -
Associate ProfessorTver State University Sep 1995 - Dec 2011Tver, Tver, Ru- Courses teaching and development: Probability Theory, Mathematical Statistics, Multivariate Statistical Analysis, Actuarial Mathematics, Financial Mathematics, Random Processes, Stochastic Simulation, Risk Theory- Author of two text books, coauthor of online course “Math for Lawyers” - Research in Multivariate Statistics and applications- Coaching: Scientific adviser for 35+ master and bachelor dissertations - Participation in research lab, collaboration with and research in data driven methods for external customers - Member of a publishing team, annual collection of research articles “Webs and Quasigroups”
Natalia Ivanova Skills
Natalia Ivanova Education Details
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Tver State UniversityApplied Mathematics -
Tver State UniversityMathematics And Computer Science
Frequently Asked Questions about Natalia Ivanova
What company does Natalia Ivanova work for?
Natalia Ivanova works for Advanced Agrilytics
What is Natalia Ivanova's role at the current company?
Natalia Ivanova's current role is Senior Data Scientist.
What is Natalia Ivanova's email address?
Natalia Ivanova's email address is na****@****eak.com
What is Natalia Ivanova's direct phone number?
Natalia Ivanova's direct phone number is +171342*****
What schools did Natalia Ivanova attend?
Natalia Ivanova attended Tver State University, Tver State University.
What skills is Natalia Ivanova known for?
Natalia Ivanova has skills like Education, Quantitative Risk, Software Development, Software Documentation, Multivariate Statistics, Actuarial Science, Risk Analysis, Product Development, Product Management, Training, Promotions, Research.
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