Roman Vasilyev
Lead Data Scientist (Commercial and Operations) at Утконос- Claim this Profile
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Английский Professional working proficiency
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Русский Native or bilingual proficiency
Topline Score
Bio
Fabian Schaefer
Roman is one of the Data people that is a really pleasure to work with, as he understands business challenges and builds great tools that help solve that. We made tremendous progress in the inventory management at Lamoda, thanks to Roman building tools that allowed us to forecast much better!
Fabian Schaefer
Roman is one of the Data people that is a really pleasure to work with, as he understands business challenges and builds great tools that help solve that. We made tremendous progress in the inventory management at Lamoda, thanks to Roman building tools that allowed us to forecast much better!
Fabian Schaefer
Roman is one of the Data people that is a really pleasure to work with, as he understands business challenges and builds great tools that help solve that. We made tremendous progress in the inventory management at Lamoda, thanks to Roman building tools that allowed us to forecast much better!
Fabian Schaefer
Roman is one of the Data people that is a really pleasure to work with, as he understands business challenges and builds great tools that help solve that. We made tremendous progress in the inventory management at Lamoda, thanks to Roman building tools that allowed us to forecast much better!
Credentials
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Математика и Python для анализа данных
CourseraAug, 2020- Oct, 2024 -
Remote Work Foundations
LinkedInMar, 2020- Oct, 2024 -
Time Management: Working from Home
LinkedInMar, 2020- Oct, 2024 -
Microsoft Excel 2013/2010. Level 5. Advanced programming in VBA
Учебный центр «Специалист» при МГТУ им. Н.Э. БауманаApr, 2014- Oct, 2024 -
CAE - Score 78
Cambridge Assessment EnglishMar, 2014- Oct, 2024
Experience
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Utkonos
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Russian Federation
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Retail
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100 - 200 Employee
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Lead Data Scientist (Commercial and Operations)
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Apr 2022 - Present
- Designed and headed implementation of workforce scheduling system which reduced assemble CPO by 2% and increased conversion by 5 pp. In addition: - developed the optimization model (OR-tools), - automated data pipelines with Airflow, - modified Streamlit app - Led DS team (DS, FE, BE, BA) - Conducted pricing AB-test which showed 5% margin growth (Superset as BI) - Designed and headed implementation of workforce scheduling system which reduced assemble CPO by 2% and increased conversion by 5 pp. In addition: - developed the optimization model (OR-tools), - automated data pipelines with Airflow, - modified Streamlit app - Led DS team (DS, FE, BE, BA) - Conducted pricing AB-test which showed 5% margin growth (Superset as BI)
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SAS
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United States
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Software Development
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700 & Above Employee
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Head of SAS Data Laboratory (Data Science Manager)
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Feb 2021 - Mar 2022
- Led 4 analytical groups: ML, Optimization, DL&CV and BI (13 people)- Co-developed with directors the strategy of Data Laboratory and set research directions - Qualified all analytical opportunities (go/no-go decisions)- Developed the framework of typical analytical services to accelerate sales process (from half year to 3 months)- Designed and participated in different marketing activities (interviews, press tour, webinars)
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Optimization Practice Team Lead
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Jan 2020 - Jan 2021
- Supervised forecasting and optimization group (6 people in team)- Under my leadership there were several successful optimization POCs/projects in new business areas (Fuel delivery optimization, Train composition optimization)- Primary qualification of all optimization and forecasting requests
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Senior Analytical Consultant
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Jan 2019 - Dec 2019
- Opportunity manager in forecasting and\or optimization projects (end-to-end customer engagement process) (price optimization, employee schedule optimization, ATM cash management, marketing optimization, maintenance optimization, logistics optimization)- Hosted webinars and spoke at SAS Forum Russia 2019
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Analytical Consultant
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Apr 2017 - Dec 2018
- Led analytical team in complex and innovative project – Integrated Business Planning for one of the biggest companies in Kazakhstan- Completed several forecasting POC/POV in different business areas (from problem statement to business case calculation and results demonstration) - Hosted trainings (internals and for clients) and spoke at SAS Business Forum Almaty 2018
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Lamoda Group
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Russian Federation
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Internet Publishing
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100 - 200 Employee
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Data Scientist
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Apr 2015 - Feb 2017
Developed:- short-term sales forecasting models on SKU level in R- optimization model in R which suggest the optimal markdown- interactive reports using R Shiny
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Analyst
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Jul 2014 - Mar 2015
- Developed the approach to model products return and implemented it in R- Participated in project to optimize the matching process of delivery men with routes by using Hungarian algorithm- Performed market basket analysis, which identify products that go well together, and automatized the process in VBA
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Intern
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Feb 2014 - Jun 2014
- Automatized the process of calculating elasticity coefficients in Excel by using VBA- Developed the core of forecasting process in R- Prepared raw data for analysis by building SQL queries and using SAP BO
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Education
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Государственный Университет Управления (ГУУ)
Specialist, Mathematical methods in economics