Position: Data Scientist, Data Engineer, Data Analyst
Category: Data Science
English level: fluent
Years of experience: 7

Worked as the Chief Support Operations Lead with 200+ agents in stuff, setup and optimised the whole support pipeline as the service.

Was a part of business consulting team, worked on 280 business processes: design, analyse, optimise, process re-engineering.
As a part of cross-functional team, managed to create the approach for Customer Analytics (Customer Feedback River), using data-driven approach (SalesForce, R, Google Cloud Platform : NLP, Tableau) along with Customer Satisfaction Metrics were developed as the outcome, based on that the whole customer acquisition pipeline is optimised. 

Developed more than 250+ reports using R + Tableau with fully automated process. 

Continuously working with 3-rd party API's in order to pull, push the data between the services like: FastSpring, WorkFront, Google Cloud Platform, LiveChat, SalesForce, other custom CRM systems with private/public API.
Worked as Business Consultant (Business Analyst) / Data Scientist (R Developer). 
- 7 years of overall experience working in IT
- 3 years of work as Data Scientist, Data Analyst, Data Engineer
- 3+ years on freelance with 10+ projects as BI Specialist, Data Engineer

Helping analyse business-related problems using data-driven approach in relative domain fields.
Building clear visuals and insights (R and Tableau) that drives business to go forward.
Providing data processing using R with Python pipelines (using 'reticulate' framework), data cleaning, data pre-processing, data wrangling, data visualisation using Tableau (Desktop+Online), R (Shiny Dashboard), data mining. 
Using predictive modelling to increase and optimise business outcomes as well as executive operational excellence (Sales Revenue Prediction, Customer Segmentation, Optimising Customer Support pipeline, etc). As well as analytics in: 
- Billing and Finance
- Customer Support Excellence
- Employee Utilisation rate
- Customer LTV Analytics / Cohort Analysis / RFM / Churn Rate
- Retention Analytics 

Experienced user of 3-rd party API's for data analysis:
SalesForce v.36-v.49, WorkFront, Google Cloud Platform API (NLP), FastSpring API. Custom web-scraping techniques including text mining and data harvesting (PDFs, web-pages, custom forms, etc), Tableau API, working with datasource, report management, administration.
All project are implemented, using version control (GitHub).

As a part of cross-functional team, helped to implement data models and monitoring metrics and outcomes, building new business rules and operational flows using data-driven approach.
Looking for interesting projects based on new technology, it could be either product company or other, working with developing and implementing AI / ML solutions, with social security offer included.
Want to be a part of professional team. Ready to fit the company's needs, continuously learn and self-develop, by acquiring new skills and knowledge. Want to focus on building complex AI / ML processes (ready-to-deliver), using existing technology or by creating the one as the part of the team.
Want to be able to apply my knowledge of R, data visualisation techniques, data-modelling skills, in order to build the great product, service or just to bring the expected result to the client dealing with real-world problem.