Position: Machine Learning Architect
Category: Lead
English level: fluent
Years of experience: 8

- I created Data Science function from zero in 700+ people IT company, engineered its structure, developed ML strategy, acquired A-class talents of all kind (Python Developers, Data Scientists, Data Engineers, ML Engineers, DevOps, BA) and ensured growth of 4 new disciplines (NLP, CV, ML based forecasting, VR). It continues to grow and deliver after 3 years I left my post. 

- Recorded four electronic-music albums. 

- Managed to get myself to MIT.
HEAD OF DATA SCIENCE — Jul 2018 - Oct 2020

- Accomplished creation and leading of R&D department, created and implemented road map for the development of Data Science function in the company by introducing Data Science Strategy, by opening new specialisations like Natural Language Processing, Computer Vision, Time Series Analysis and by acquiring talents meeting growing needs and changing conditions. I nurtured team of 20+ people.

-Developed product portfolio for propelling digital transformation and automation for marketing, e-commerce, supply chain and logistics with $ 4M+ cumulative impact on the bottom line. The projects included NLP for Marketing Automation, CV for food recognition, ML for forecasting, procurement and fulfilment optimisation as well as development of decision making tools based on AI.

-Ensured evolution of technical road-map for establishing effective data-science products delivery routine. Established standards and policies for data science process without damaging experimentation culture.  

CO-FOUNDER AND PRINCIPAL DATA SCIENTIST — Nov 2017 - May 2018

- Co-Founded company specialised on algorithmic cryptocurrency trading. 
- Developed model-driven architecture based on Microsoft Stack (Azure Cloud Services, MS SQL, Microsoft R, PowerBI) for model deployment and BI and node js for trading automatisation. 
- Achieved average classification accuracy for predicting market trends up to 55%.  


DATA SCIENCE PRODUCT MANAGER — Jul 2015 - Dec 2017

- Developed SQL+R based MVP for clustering customer preferences inside product groups, which led to increase in sales by 1,5% and EBIDTA Margin by  0.4%.

- Defined a new data driven inventory management process. The effort resulted in 4~6% reduction of inventory holding costs (approx. 8M $ in investments in stock).

- Managed implementation of TMS. Achieved successful integration with WMS and ERP systems and unlocked potential for yearly economy of $ 3M+.
I will make best fit to:

1) A company in desperate need of creating its own Data Science function from scratch. 
2) An organisation with ongoing process of Data Science practices implementation.  

Preferably mature international business with established processes, rapid bureaucracy cycles and strong IT.