Vitaly Kogtev work email
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Successful experience in working out data science tasks:- business problem analysis, data science hypothesis formulation (Jupyter Notebooks);- source data profiling, cleaning, features engineering for testing machine learning hypotheses (NumPy, Pandas, PyTorch, matplotlib, Plotly);- machine learning application for problems solving of forecasting, classification and recommendation (scikit-learn, PyTorch, TorchVision);- neural networks optimization, tuning computer vision models (PyTorch, TorchVision);- accuracy analysis of machine learning models, optimization of meta-parameters (PyTorch, Torchmetrics, scikit-learn, matplotlib, Plotly);- registration of data science hypothesis testing results, recommendations for use (Jupyter Notebooks, matplotlib, Plotly);- A/B tests planning and supporting for new ML-model approving.==============Data science (ML) projects:1. Recsys (recommendation system) for insurance businessMachine learning hypothesis was tested, and recommendation system MVP for insurance company was implemented. Successfully completed the following tasks:- design and commit the business task, design information flow (Jupyter Notebooks, Miro);- profile and analyze insurance company historical data;- restore client properties from transactions (Python, Pandas, Plotly);- prepare historical economical macro-parameters (Python, Pandas, Plotly);- restore object classification properties (Python, Pandas, Plotly);- create the deep learning model for multifactor classification problems (Python, Pandas, Pytorch);- train, test, validate and optimize of metrics for deep learning models (Python, Pandas, Pytorch);- current product of the insurance company from the classifier was carried out, based on the forecast of the client's preferences and the goal of increasing the profit of the insurance company (Python, Pandas, Plotly);A/B testing of the new recommendation system was carried out (Python, Pandas, Plotly).2. Precursor events classification- the hypothesis “Classification of precursor events for major man-made accidents at the plant” was formulated and tested. The hypothesis was confirmed with ROC AUC = 79% (NumPy, Pandas, scikit-learn, matplotlib, Plotly)3. Recognize and classify cells on the microscope images- the Faster R-CNN neural network model was configured to recognize cells in a microscope image, the necessary quality of object detection was obtained for the further stage of cancer diagnosis (Python, Pandas, Pytorch, Plotly, matplotlib)
Neural Network Technologies
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Data Science Team LeadNeural Network TechnologiesSaint Petersburg, Ru
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Head Of Data QualityGazprom Neft Dec 2018 - May 2024Saint Petersburg, Russian Federationвыполнял 3 роли на различных этапах создания функции Data governance (Управления данными):- первичное проектирование функции Управление данными (цели, задачи, структура, процессы, взаимодействие с бизнесом, карта доменов данных);- проектирование и внедрение процессов качества данных (data quality), внедрение инструментов, подбор Команды, курирование проектов в области управления данными;- управление методологией управления данными (политика, стандарты, методики, аудит… Show more выполнял 3 роли на различных этапах создания функции Data governance (Управления данными):- первичное проектирование функции Управление данными (цели, задачи, структура, процессы, взаимодействие с бизнесом, карта доменов данных);- проектирование и внедрение процессов качества данных (data quality), внедрение инструментов, подбор Команды, курирование проектов в области управления данными;- управление методологией управления данными (политика, стандарты, методики, аудит DCAM).Достижения:- совместно с консультантами McKinsey подготовлено описание функции Управления данными (цели, структура, дорожная карта, процессы). Результаты проекта утверждены на коллегиальном органе Компании и приняты как ориентир на 3 года развития;- детально описаны процессы Управления качеством данных, подготовлены и согласованы стандарт с 7 процессами, 4 методики, 3 корпоративных шаблона. Описаны требования к инструментам качества данных и каталогу данных. Под моим руководством выполнен проект создания инструментов управления качеством данных (17 участников от внутренних команд и подрядчиков), инструменты внедрены в эксплуатацию.За 1-й квартал эксплуатации зарегистрировано 500+ пользователей панелей анализа качества данных. Выполнен подбор на 4 критичные позиции Команды качества данных;- разработан курс «Введение в качество данных», первый квартал на платформе «Корпоративного университета» курс входил в 20% самых популярных курсов обучения;- руководил проектом создания Домена данных производственной безопасности. Создано хранилище, в которое собираются данные из 25+ источников, описаны 1000+ элементов данных. Внедрены основные роли и процессы управления данными в домене;- проведено 2 ежегодных внешних аудита по стандарту DCAM. Общая оценка состоятельности (зрелости) определена 3+, по процессам качества данных 4+ (лучшая оценка из всех направлений);- проводил очные семинары для бизнес-аудитории в университете Газпром. В анкетах обратной связи выставлены 10 баллов из 10 возможных. Show less -
Project ManagerTaskdata May 2015 - Dec 2018Sankt-PetersburgIn the new company, business analysis department was created, and staffed by distributed team of 8 employees. - “Project management practices" were put into practice for 10+ projects. - 3+ country-level projects were successfully ended. - I was a member of the Unidata product Management Board, I offered ideas for product management and market positioning. Unidata was recognized by the Gartner as the TOP10 Data Management product. -
Head Of Project DepartmentFirst Bit Apr 2013 - Sep 2014St.Petersburg, RussiaNew project department was created:- recruitment, adaptation, certification of the personnel, new motivational scheme introduction (20+ staff);- project management enforcement (10+ projects);New products promoted to the market:- market research, identification of the 3 perspective products;- marketing plans preparation, writing articles, 10+ seminars holding;- personal sellings, presale activities, negotiations, customers relationship developing;- pilot projects… Show more New project department was created:- recruitment, adaptation, certification of the personnel, new motivational scheme introduction (20+ staff);- project management enforcement (10+ projects);New products promoted to the market:- market research, identification of the 3 perspective products;- marketing plans preparation, writing articles, 10+ seminars holding;- personal sellings, presale activities, negotiations, customers relationship developing;- pilot projects, department was loaded for 6+ months. Show less -
Director Of Business Applications DevelopmentOmz Nov 2011 - Mar 2013Sankt-Petersburg, Russia- engineered the IT solution: planned (budget) and actual financial reporting of OMZ Group (RAS and IFRS);- organized a project program aimed all the elements of this solution;The revenue of my division (self-funded IT function) has been increased more than 2 times (year to year). -
Cio (Head Of It-Structure)Kirovsky Plant May 2007 - Feb 2011Sankt-Petersburg, RussiaIt was successful IT function startup, business support was organized (30+ staff). IT-strategy in Holding was made and approved.SAP ERP was deployed with modules: • tax, financial accounting;• assets management (real estate);• control of production expenses in “Kirovec” plant.The program of projects was executed in time and budget restrictions. In period 2007-2011 Kirovsky Zavod Group capitalization was doubled. -
Cio (Head Of It-Structure)Razgulay Group (15,000 Employees), Agro-Industrial Holding May 2002 - May 2007Moscow, Russia- in 2002 started working as a business analyst (start from 1 to 5 employers team); - from 2004 to 2007: CIOFinancial management and control tools were developed and implemented. The Group successfully passed the "Due Diligence" procedure from PWC and made the initial public offering on the European market (IPO).
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Finance Systems Consultant (Erp-System Platinum Sql)Epicrus Jun 2001 - May 2002МоскваInvolvement in 3 implementation projects of Enterprise resource planning.
Vitaly Kogtev Skills
Vitaly Kogtev Education Details
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ImispMba -
Mba "Successful Management Practice", International Management Institute In St.Petersburg (Imisp)Master Of Business Administration - Mba
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Системы Управления, Системный Анализ
Frequently Asked Questions about Vitaly Kogtev
What company does Vitaly Kogtev work for?
Vitaly Kogtev works for Neural Network Technologies
What is Vitaly Kogtev's role at the current company?
Vitaly Kogtev's current role is data science team lead.
What is Vitaly Kogtev's email address?
Vitaly Kogtev's email address is vi****@****ail.com
What schools did Vitaly Kogtev attend?
Vitaly Kogtev attended Imisp, Mba "successful Management Practice", International Management Institute In St.petersburg (Imisp), Сибирский Государственный Аэрокосмический Университет.
What skills is Vitaly Kogtev known for?
Vitaly Kogtev has skills like Project Management, It Management, Business Strategy, Business Process, Business Process Improvement, Software Project Management, Software Development, Project Portfolio Management, Erp, Business Analysis, Management Consulting, Management.
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Vitaly Kogtev
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