O

Oleg Okun

CEO

Hamburg, Hamburg, Germany34 yrs 5 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led a remote data science team across multiple locations.
  • Initiated and implemented Azure data architecture.
  • Supervised multiple academic theses and projects.
Stackforce AI infers this person is a Data Science and AI expert with extensive experience in cloud computing and machine learning.

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Skills

Core Skills

Data ScienceCloud ComputingData EngineeringDeep LearningNlpMachine LearningData AnalysisBusiness AnalyticsBiometricsResearch And DevelopmentResearchSoftware Development

Other Skills

AlgorithmsArtificial IntelligenceAzure Data FactoryAzure Data LakeAzure DatabricksAzure Machine LearningAzure SQL DBBig DataBioinformaticsBiometric AlgorithmsBook ReviewsBook WritingCComputer VisionConsulting

About

Team & People management: Experienced team lead capable of both technical and people management. Hired a team of professionals with diverse expertise and merged them into a single unit. Remotely managing a team scattered across Germany Applications: Solar energy analytics, intelligent text search and summarization, predictive maintenance, medical text analytics, credit scoring, marketing analytics, fraud detection, analysis of business value of external data sources, bioinformatics, biometrics, document image analysis Theory: AI, machine learning, data mining, statistics Cloud: Azure cloud platform and its services Big Data: Hadoop (Cascading), PySpark Deep Learning frameworks: Tensorflow (Python), Deeplearning4j (Java), Keras (Python) Tools: ElasticSearch, KNIME, Excel Programming: Python, Java, R, SQL, C, MATLAB

Experience

34 yrs 5 mos
Total Experience
4 yrs 11 mos
Average Tenure
6 yrs 5 mos
Current Experience

Enpal b.v. (former enpal gmbh)

Data Science Team Lead

Jan 2020Present · 6 yrs 5 mos · Hamburg, Germany

  • Built from ground zero and remotely manage a Data Science team (5 data scientists) - team is distributed over 5 locations across Germany
  • Initiated the creation of a data ingestion & storage architecture in Azure (Azure Data Factory, Azure Data Lake, Azure SQL DB, Azure Machine Learning, Azure Databricks), which has been implemented by the team in 2021
  • Working with team members to proactively adapt the Azure data architecture to changing circumstances, such as increasing data volume, new business needs, etc.
  • Helping a C-level manager to define team's quarterly OKRs aligned to company business goals
  • Supervising data-related support of my team to a BI team that delivers reports & dashboards to company senior management
  • Supervising and advising team members in implementing MVPs supporting business units with AI expertise and in presenting results to senior management
  • Supervised a MSc thesis work of one of the team members
Data ScienceAzure Data FactoryAzure Data LakeAzure SQL DBAzure Machine LearningAzure Databricks+1

Cognizant solutions gmbh

2 roles

Associate Director

Jan 2018Jan 2020 · 2 yrs · Hamburg Area, Germany

  • Developing academia-industry cooperation in Europe in various areas involving Deep Learning/Deep Reinforcement Learning, Natural Language Processing, Computer Vision/Image Processing.
  • Designing and developing business use cases (NLP, Deep Learning, PySpark)
Deep LearningNatural Language ProcessingComputer VisionPySparkNLP

Chief Architect (Cognitive Computing)

Jan 2016Jan 2018 · 2 yrs · Hamburg Area, Germany

  • Industrial research in applications of natural language processing (NLP) using deep learning neural networks
  • Cognitive computing consultancy
  • Machine learning solutions for big pharma, predictive maintenance and Internet of Things
  • Intelligent text search & summarization in large collections of electronic documents
  • Industrial use case development (automotive industry)
Natural Language ProcessingDeep LearningMachine LearningNLP

Kreditech holding ssl gmbh

Senior Data Scientist

Jan 2014Jan 2016 · 2 yrs · Hamburg Area, Germany

  • Machine learning based scoring of loan applicants.
  • Machine learning based analysis of business value of external data sources.
  • Machine learning based offline (TV-radio) marketing campaign analysis.
  • Time series analysis.
  • Fraud detection.
  • R, Excel, SQL.
Machine LearningFraud DetectionTime Series AnalysisSQLExcelData Analysis

Campanja

Senior AI Analyst

Jan 2012Jan 2014 · 2 yrs · Stockholm, Sweden

  • Responsible for design analytical (machine learning, statistics) methods and their implementation in Python to be deployed in paid search marketing software.
Machine LearningStatisticsPythonData Analysis

Smarttecco

CEO and Founder

Jan 2011Jan 2014 · 3 yrs · Malmo, Sweden

  • Business Analytics Consulting, including Data Mining and Statistics
Data MiningStatisticsBusiness AnalyticsData Analysis

Scandinavian region

Machine Learning Researcher and Intelligent Data Analysis Consultant

Jan 2010Jan 2011 · 1 yr · Malmo, Sweden

  • Intelligent data analysis, including machine learning, data mining, statistics and their applications, e.g., such as bioinformatics, biometrics, ...
  • Thanks to successful defense of company interests at the past international standardization meeting held in Moscow in 2009, Precise Biometrics' fingerprint matching algorithm was admitted to the MINEX II test in 2010 and eventually got certified by NIST of USA.
Machine LearningData MiningStatisticsData Analysis

Precise biometrics

Head of Fingerprint Algorithms Research Group

Jan 2008Jan 2010 · 2 yrs · Lund, Sweden

  • Supervised a research group and provided guidance on biometric algorithms to the group and the entire company
  • Acted as a senior advisor in two pan-European research projects involving the leading French and German smart card/e-chip companies and universities
  • Was a leading contributor to two 60-page reports for these projects
  • Represented the company in the Swedish and International standardization bodies and actively participated in standardization work
  • Contributed to the ISO/IEC 2nd CD 29164 (2009): “Information technology - Biometrics - Embedded BioAPI” standard draft
  • Set up the best practices of performance evaluation for biometric algorithms in the company and wrote an extensive report on these practices
  • Developed MATLAB software for biometric performance evaluation
  • Wrote a number of technical reports on the performance evaluation of the company's biometric solutions and test studies of various fingerprint sensors, involving statistical analysis of the obtained results
Biometric AlgorithmsPerformance EvaluationStatistical AnalysisBiometricsResearch and Development

University of oulu

Senior Researcher

Jan 1998Jan 2008 · 10 yrs · Oulu, Finland

  • Gave “Digital Image Processing” exercises for students of the University of Oulu
  • Proposed and gave the course “Support Vector Machines” for postgraduate students of the University of Oulu
  • Supervised MSc and PhD theses, served as a referee of PhD theses
  • Developed numerous machine learning, statistical and document image analysis algorithms and implemented them in MATLAB and C
Machine LearningDocument Image AnalysisStatisticsResearch

United institute of informatics problems

Junior researcher, researcher, senior researcher

Jan 1990Jan 1998 · 8 yrs · Minsk,Belarus

  • Developed numerous document image analysis algorithms and implemented them in C
  • Participated in commercial and research projects funded by Russian and Belarusian companies, EU, Soros and Belarusian funds
Document Image AnalysisCResearchSoftware Development

Education

Belarusian Academy of Sciences

PhD

Jan 1992Jan 1996

Belarusian State University

MSc

Jan 1985Jan 1990

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