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Data Scientist with 10+ years experience in Data Processing and Predictive Modeling.Extensive experience building batch and real-time models and developing real-world machine learning models with demonstrated impact. Able to quickly grasp and implement new technologies and data concepts. Energized by uncovering actionable insights from large datasets, making recommendations to improve user experience, and delivering innovative technology and data solutions to support business growth and profitability.Built predictive ML models of customer behavior, automated decision-making, and supported organizations with acquisitions, mitigating corporate risks and fraud, and improving products and processes.Solid technical and analytical skills with expertise in data science and machine learning, data engineering, ETL processing, problem solving, and statistics acquired through academic and professional experience.PhD in Applied Space Plasma Physics.
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Director Of Data AnalyticsLongmark Group Jan 2023 - Present -
Data Architect, Data ScientistChime Dec 2017 - Jan 2023San Francisco, Ca, UsOrchestrated analytics data infrastructure as a first DE hire.Re-built Looker BI tool to serve analytics for entire company.Developed ML models to automate fraud prevention as a first DS hire on the Risks team -
Big Data ArchitectNomis Solutions Feb 2015 - Dec 2017San Francisco, California, Us -
Modeling AnalystNomis Solutions Sep 2013 - Feb 2015San Francisco, California, Us -
Analyst, AssociateSberbank Feb 2009 - Jan 2013Ru -
AnalystUnited Aircraft Corporation Sep 2008 - Feb 2009Moscow, Ru -
Research ScientistSpace Research Institute, Russian Academy Of Sciences Dec 2000 - Sep 2008Research in applied space plasma physics based on the multi-spacecraft data analysis:- Processed big data sets of spacecraft measurements (raw data selection, data mining, preliminary processing and analysis to prepare the data for deeper insight)- Developed algorithms for the data processing, analysis, interpretation and visualization using C++, Matlab, IDL- Applied statistical, spectral and other kinds of analysis to investigate non-linear processes in space plasma as well as to model such phenomena using machine learning (clustering, neural networks)- Interpretation of results to derive the causes and mechanisms which result in various types of the processes observed- Application of machine learning techniques to predict some phenomena in space plasma (linear and logistic regression analysis, neural networks)- Developed hardware for Russian astrophysical spacecraft – modeled electrical characteristics and the response functions of the device using C++, assisted in laboratory testing, developed software for data processing, prepared reports- Cooperated with scientific groups in Russia, USA, Czech Rep., China, UK, BulgariaAchievements:- Author and co-author of 12 publications in applied space plasma physics- Reported results at scientific conferences in Russia, USA, France, Israel, China
Nik Shevyrev Skills
Nik Shevyrev Education Details
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New Economic SchoolEconomics And Finances -
Space Research Institute, Russian Academy Of SciencesApplied Space Plasma Physics -
Moscow Institute Of Physics And Technology (State University) (Mipt)Applied Mathematics And Physics
Frequently Asked Questions about Nik Shevyrev
What company does Nik Shevyrev work for?
Nik Shevyrev works for Longmark Group
What is Nik Shevyrev's role at the current company?
Nik Shevyrev's current role is Director of Data Analytics, Longmark Group.
What is Nik Shevyrev's email address?
Nik Shevyrev's email address is ns****@****ail.com
What is Nik Shevyrev's direct phone number?
Nik Shevyrev's direct phone number is +164725*****
What schools did Nik Shevyrev attend?
Nik Shevyrev attended New Economic School, Space Research Institute, Russian Academy Of Sciences, Moscow Institute Of Physics And Technology (State University) (Mipt).
What are some of Nik Shevyrev's interests?
Nik Shevyrev has interest in Travelling, Science And Technology, Mountaineering, Photography.
What skills is Nik Shevyrev known for?
Nik Shevyrev has skills like Data Analysis, Financial Analysis, Project Management, Statistics, Matlab, Data Mining, Time Series Analysis, Machine Learning, Big Data, Econometrics, Algorithms, Stata.
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