Valentin Panovskiy, Phd Email & Phone Number

Moscow, Ru

Moscow, Moscow City, Russia

Data strategy visionary over the Holding (5 Business Units as for Jan'2024)

Moscow, Moscow City, Russia

Consulting in data science, analytics, data engineering, and machine learning

Moscow, Moscow City, Russia

Responsibilities: give lectures in - linear algebra, - python for data science- optimization algorithms

Moscow, Russian Federation

Responsibilities: conduct researches in the fields of nonlinear programming and optimal control problems

Moscow, Moscow City, Russia

Design and implementation of the data platform. Tech stack includes, but is not limited to the following technologies: pub/sub frameworks, Python/Go as programming languages, Hadoop Ecosystem as main storage & compute

Moscow

Tech Stack:- Dagster as ETL orchestration and scheduler framework- FineBI for dashboarding- Clickhouse as main DWHResponsibilities: - team management & development (~20 employees, 2 branches: engineering & analytics + in-house ML Solutions)- data strategy visionary over the Streaming Platform

Moscow, Moscow City, Russia

Tech Stack:- Prefect + Airflow as ETL orchestration and scheduler frameworks- Tableau for dashboarding- Heterogeneous data sources & technologies: Trino (ex. Presto SQL), Dremio DWH Engine, Google Big Query, PostgreSQL, MySQL, Clickhouse, etc.)Responsibilities: - team management & development (30+ employees, 5 teams including DataOps & ML teams)- data strategy visionary over the EdTech Holding (6 companies as for Jan'2022)- development of decentralized DWH

Moscow, Russian Federation

Tech Stack:- Prefect as ETL orchestration and scheduler framework- Redash for dashboarding- DBT for documentation, metadata organization, and data lineage- Good Expectations as Data Quality toolResponsibilities: - team management & development (30+ employees, 5 teams including DataOps & ML teams)- architecting of DWH infrastructure and supervision of its development- implementation of data driven decision strategy

Moscow, Russian Federation

Tech Stack:- Python (DS set of libraries: numpy, pandas, scikit-learn, and etc) for EDA and researches- Metabase for basic dashboard collection- Docker for applications deploymentResponsibilities: - adhoc & on-demand researches- building of the initial product analytics system

Moscow

Tech Stack:- Jupyter Notebooks (w/Python Kernel) for approbation of neural networks architecture- Python (Keras w/Tensorflow backend) for production-ready inferences- Airflow + MLflow for experiment tracking and automation of ML lifecycle- FastAPI for API creationResponsibilities: application of machine learning algorithms to the problems of ecological & forecast modelling

Moscow, Russian Federation

Tech Stack:- Scala + Spark ML for algorithm development in production environment- Jupyter Notebooks (w/Scala Kernel) for EDA and hypothesis checksResponsibilities: research and implementation of mathematical algorithms in the field of recommender systems

Moscow, Russian Federation

Tech Stack:- Python for algorithm prototyping in development environment- C++ for production ready environmentResponsibilities: implementation of scientific results (which were obtained by the developed reconstruction algorithm) in program modelling complex.

Moscow, Russian Federation

Tech Stack:- Matlab for simulation and experiment prototyping- Python (DS set of libraries: numpy, pandas, scikit-learn, and etc) for experiment data processingResponsibilities: development of the algorithm for system of nonlinear differential equations reconstruction by experimental data.

Moscow, Russian Federation

Worked as intern of Customer Business Development (CBD) department. Tech Stack:- Excel + VBA for data preparation- Python for complex data manipulationsResponsibilities: development of category management system and its implementation control.

Doctor Of Philosophy (Phd), Mathematics, Gpa 5.0 Out Of 5.0

PhD thesis: Interval Methods of Nonlinear Determined System Optimization under Imperfect Informational Conditions

Specialist, Applied Mathematics, Gpa 5.0 Out Of 5.0

Diploma work: Development of Interval Methods for Nonlinear Determined Dynamic System Optimization (diploma with honors)

Specialist, Economics And Business Managment, Gpa 4.87 Out Of 5.0

Diploma work: Risk management for Technical Re-Equipment projects in JSC "NLMK" (diploma with honors)