Leading the data science team to empower the product and improve company processes with machine learning services. Main objectives are, to build a ML driven pricing engine and to integrate it into the product backend to optimize the company profit.
As a part of the Strategic Projects and Data Science teams, I provide my ML and analytical skills for building an A.I. solution for the company marketing workflow and users conversion optimization.
✓ Data Science team and projects coordination ✓ ML algorithms development ✓ Definition and implementation of the new sets of KPIs for more precise user LTV evaluation ✓ Storytelling: clear analysis results exposure to stakeholders ✓ Marketing, monetization and development teams support towards data driven decisions
• Development of an ML solution to predict LTV of marketing campaigns and marketing-acquired users • Development of a recommendation engine to improve marketing managers workflow for steering marketing campaigns
As a reinforcement of the data warehouse team, I maintain, develop and refactor the DWH data pipelines handling jobs/logic in order to adjust them to the needs of the BI, Marketing, Monetization and BizDev teams as well as handle DWH tasks on-request.
Projects: • Development of the new Marketing back-end DWH layout
As a part of the Strategic Projects team, I supply it with analytics expertise for data driven solutions towards the company products optimization in terms of major BI/Tech KPIs.
✓ Supporting Monetization, Marketing and Development teams in terms of numerous projects ✓ Development of the clients retention funnel model based on the clients actions tracking KPIs ✓ Development, maintenance and ownership of numerous BI and technical dashboards (Tableau, R + shiny) ✓ Storytelling: clear analysis results exposure to stakeholders ✓ Ad-hoc analysis
• Development of the client accessibility tracking dashboard (in cooperation with Monetization team) • Development of the email campaigns evaluation dashboard (in cooperation with CRM/Marketing team) • Development of the technical KPIs monitoring dashboard to support the products servers migration • Evaluation of existing tracking system for its successful integration into upcoming products
Maritime Data Systems GmbHNovember 2016 - July 2017
- Work with PostgreSQL, Rest-API, AWS RDS and DigitalOcean cloud services - R data mining algorithms development - Vessels tracking (AIS) and weather data mining - Development of a novel method for ships hydrodynamics calculation based on vessels AIS data analysis
Data aggregation, consolidation and analysis for trusteddocks.com (R, PostgreSQL, AWS) - Algorithms development for the docking agent: https://www.trusteddocks.com/tada - Aggregation of the ts data (AIS vessels positions), combination with geopolygons and their analysis for vessels docking forecast, scrapped vessels definition, duration of vessels visits into shipyards estimation - Restful APIs development for the trusteddocks.com backend
Maritime Data Systems GmbHFebruary 2017 - July 2017
Deutsches Elektronen SynchrotronJanuary 2015 - January 2017
DESY: Si detectors R&D for the future CMS Tracker in terms of LHC Phase II Upgrade. Experimental studies of the properties of irradiated and non-irradiated Si sensors of different types. Development and integration of a part of the analysis framework called Eutelescope. CERN: CMS Tracker off-line data quality monitoring (DQM) and management of the off-line DQM team. CMS Tracker operation management.
Major skills: - Data acquisition, storage and handling - Big data handling (several hundreds of samples, ~1Gb each sample ) - Data mining - Programming - Physics processes simulation - Reports writing - Results ation in front of the team - Ion detection systems - Precise electronics - 3D design - Strong interpersonal skills - Co-supervision of students - Frequent work trips - Availability 24/7 on shift basis
Simulation of the ion detection stage and a working cycle of the Penning-trap mass spectrometer ISOLTRAP at CERN; development of a MCP-CCD position sensitive detector to measure the ion beam emittance.
Major skills: - Data acquisition and analysis - Numerical modelling of physical processes (ion interactions and ion beam transport) - Beam profile images processing - Precise electronics - Data analysis results ation in front of the team - Reports writing
Development and validation of the Monte-Carlo models for analysis of the physical processes in the high-energy particle detector ECAL2 of the COMPASS experiment at CERN.
Major skills: - Data mining - Programming - Big data handling (few dozens of samples, ~10Gb each sample) - Numerical modelling of physical processes (simulation of big detection arrays) - Data analysis results ation in front of the team - Reports writing
Budker Institute of Nuclear Physics SB RASJuly 2009 - July 2011
Development and optimization of the ion sources for plasma physics, fusion reaction experiments and acceleration physics.
Major skills: - A-to-Z planning and fullfilment of physical experiments - Data acquisition, storage and handling - Numerical modelling of physical processes (minimization of heat loads on the elements of the ion source) - High vacuum systems - Cryogenics - Precise electronics - Reports writing - Results ation in front of the team and on conferences
Tableau, SQL, REST API, RabbitMQ, Python, Project Management, PostgreSQL, Neural networks, MySQL, Matlab, Machine Learning, Hadoop, DevOps, Data Warehousing, Data Mining, Data analysis, C++, Big Data, AWS, Apache Web Server, Analytics, Analytical skills, Amazon Web Services (AWS)
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Pentalog est une plateforme de services IT qui accompagne les entreprises dans leur production digitale et leur transformation en fournissant des ingénieurs et développeurs de classe mondiale. Ses 16 Delivery Centers et Agences dans le monde comptent plus de 1600 ingénieurs, développeurs, product designers et spécialistes marketing.