Responsibilities:Development of Data Governance strategyUpdating Data Strategy with Data Science/ML/AI capabilitiesDevelopment of company Data Architecture and introduction of Master Data Management platformIntroduction of ML and Data Science culture in the companyDevelopment of AI-oriented researchAchievements:- Updated Data Strategy to include predictive and prescriptive data utilization- Developed Data-Mesh based Data Governance framework to be utilized with Azure Fabric- Developed ML platform for company data analytics- Integrated data sources and transition to Azure Fabric- Co-promoted a master's thesis in AI for one of the employees- Developed Artificial Sentience

Responsibilities:Assessing product portfolio in terms of growth and development potential, existing and achievable synergies, and maintenance cost and quality assurance optimization. Evaluating team structure and operational efficiency. Adjusting and aligning of business model to a new organizational and operational structure. Hands-on machine learning methods prototyping (python). Supporting, mentoring, and training fellow Data Science staff.Achievements:• Implemented Agile Analytics protocols within the team (30% improved work efficiency)• Led a successful negotiation to become an official software provider for Procter and Gamble Gmbh• Invented the Iterative Data Operationalization business model (60% improvement in sales closing)• Reduced OPEX (25% reduction of maintained and developed tool’s cost)

Cracking COVID-19 pandemic spread.Providing business direction, strategy development, team mentoring.

Responsibilities:Building and facilitating relations between business stakeholders and multiple insight teams to deliver actionable insight and strategy, driving future growth and business change.Leading the Strategic Insight support for the company's multiple communication channels.Developing strategic insight and analytics from both a top-down (business need to focused insight) and bottom-up (essential learning disseminated to a wider relevant audience) approach to support core business questions.Overseeing and managing operations of three different analytics and software development teams.Hands-on machine learning methods prototyping (python).Achievements:• Implemented Agile Analytics protocols within the team (40% improved work efficiency)• Established an integrated action plan towards utilisation of scattered data sources in omnichannel marketing communication planning and execution tool (30% time reduction of BAU analytics)• Developed customer segmentation algorithm and single customer communication recommender system, aligning existing data resources and business operations (90+% specificity and sensitivity)• Increased scope of offered analytical services, while reducing team size (20% team size reduction)

Responsibilities:Developing predictive analytics using machine learning and statistical modelling methods, SQL and no-SQL, and own and 3rd party data sources.Designing data integration roadmaps.Developing data visualisation methods (inc. dashboards, presentation templates).Accomplishments:Resolved multiple commercial issues relating to big data, database design, and visualisation including: a. decreased client’s returns under warranty by 15%,b. predicted ROI of the opening of a new store with 90% accuracy,c. achieved a 5% increase in sales by implementing a client micro-segmentation for individualized offers,d. decreased number of model features 20-fold with preserving 99% variance.

Responsibilities:Developing data science protocols and managing their implementation. Negotiating contracts with industrial clients and research partners.Supervising of 30 Institute research staff and managing projects involving over 100 people from 20 countries. Accomplishments:• Redesigned procedures for cooperation with industry (5% profit increase) • Implemented genetic algorithm based protocols into experiment design (20% cost reduction)• Applied production flow modelling tools for identification of clients’ processes bottlenecks and calculation of ROI of infrastructure upgrades (80+% accuracy)

Note: UAB EuroParama is an in-house consulting company of an Applied Research Institute for Prospective TechnologiesResponsibilities:Developing and managing EU Horizon 2020 projects. Developing IT infrastructure for project development.Accomplishments:1. Managed three, developed over a dozen of H2020 projects. 2. Acquired support for developed projects at ministerial level in different countries.3. Deployed team-oriented IT tools facilitating project preparation in coordination with external partners.

Responsibilities:Managing company everyday operations.Developing new products and services, including team training. Developing multinational projects, negotiating roles in the project with industrial and research partners.Accomplishments:• Designed and implemented tools for Strategical Planning for scientific institutions• Negotiated contracts between Polish National Center for Research and Development, Polish scientific institutions and relevant Israeli partners• Designed and performed to-date the largest-scale analysis of teaching courses for Warsaw University of Technology

Responsibilities:Conducted research concerning metagenomics, metatranscriptomics, multi-level protein-protein interaction. Delivered lectures. Completed numerous software development projects. Accomplishments:1. Developed own metatranscriptomic/metagenomics big-data analysis pipe.2. Developed Systems Biology course. 3. Developed many molecular protein structure and protein interaction models.

Responsibilities:Designed and delivered Data Management and Visualisation courses.Accomplishments:Deployed the first business-oriented Statistics course in the country for post-graduate and MBA students.Continuously enhanced course methodology by applying business-psychology tools.

Responsibilities:Accountable for all operations within Eastern Europe, including staff training, procurement optimization, projects development and management. Accomplishments:Built a highly productive team of dedicated professionals. Managed procurement and supply chain optimisation for ZIMBO GmbH.

Responsibilities:Programming, Quality Assessment of the groups’ protein related code.Accomplishments:Development of new software for protein structure comparison, based on an authored clustering algorithm.