Position: Data Science Manager / ML Product  Manager / Team Lead
Category: Data Science
English level: fluent
Years of experience: 3

Awards for predictive modelling projects effectiveness, i.e. for applying predictive modeling in advertising campaign planning and optimization :
The case of using predictive modelling for prediction of new clients of deposits has won Silver at WARC Media Awards, in the category: “Best Use of Data”. It is the highest achievement of Ukraine at this international contest so far 

Recommendation system from idea to deployment in  3.5 month, +15-20% improvement in key metric after its launch 

Datawarehouse from idea to production in 4 months, accelerated reporting and datasets assembly
I am data science professional from Ukraine with huge experience in data analytics, marketing communications, products management, and 2 years of experience in the role of data science team lead.

I have experience to build data science team and data culture in the company from almost scratch, arrange smooth communication in cross-functional team (product owners, data scientists, data analytics, software engineers, DevOps), communicate with stakeholders to find the areas where data analytics application can drive business value. I have deep knowledge of data science methods and experience in their application in marketing & product management domain. I have practical experience to fusion these two knowledge areas for the benefit of rocket-like product sales growth and excellence of customer experience

Experience in data science field: 
predictive modelling (banking, retail, e-com), NLP, recommender systems, datawarehouses (SQL-based)

My Toolset:
•	Programming - Python (Pandas, NumPy, SciPy, Scikit-learn, NLTK, Beautiful Soup)
•	Instruments for deploying DS projects in production - flask, asyncio, docker containers  
•	SQL – BigQuery, MS SQL, ClickHouse
•	Data analytics visualization tools – MS PowerBI, Google Data Studio
•	Tech Product management – north star metric dependency tree, unit economics, CustDev, hypothesis A/B testing
•	Marketing promotion – 360-degree toolset across offline and online marketing & media mix tools
first of all, the essence of the work is important: the creation and development of products, in the heart of which is data-science (ML)