Роман Васильев Email & Phone Number

• Formed team of 5 DS/DA
• Developed new metrics (such as space efficiency, repeat rate, retention, etc.) and dashboards based on them for category managers
• Organized and calculated AB tests on stores and user levels
• Lead BI-reporting of commercial analytics (autoorder, pricing, assortment) at the company level
• Organized product matching process: developed auto-matching model (using NLP approaches)
• Created CDT-centered categorical review process. Result: ~50 new SKUs per month, ~70% of them are moving to main category matrix

• Formed team of 3 DS, 4 BA and 2 DE
• Managed team backlog, organized developing process and ad-hocs processing
• Developed user-based metrics and integrated it to internal assortment optimization system and BI system
• Developed demand forecast model for assortment optimization
• Implemented culture of using CDT. Developed approach to CDT creation and assortment optimization process based on it

Worked on the development of a tool for evaluating the effectiveness of past promos with expected value more than 1 billion rubles.Developed several modules: Losses, Markdown, Pull Forward, Footfall. Worked on developing a demand forecast model to evaluate promo.Worked with BCG consultants and category managers on creating promo recommendations.

Москва, Россия

• Telecom credit products improvement project Created process of using ML models in credit project with more than 3 million users: developed default model and tariff policy strategy based on it. increased project revenue.
• Anti-Downsell project Created segmentation and several approaches to detect Downsell in customer groups
• Customer data upgrading project Created ML-models oriented on receiving extra customer properties - gender, age, psychotype on more than 70 million customer base. Developed models to detect communities using telecom.
• Managed the interns group Led the interns groups up to 8 members, supervised their projects, organized the courses of using Big-Data tools in industry (SQL, HIVE, Spark, etc)

Прикладная Математика И Информатика

Education record

An intensive structural thinking and career building 21-day education course (more than 60 hours of study and more than 80 hours of.