Position: Senior Data Analyst, Scientist
Category: Data Analyst
English level: fluent
Years of experience: 6

Programming and Data Processing Courses
Since April 2021

Introduction to Statistics: Harvard University (Coursera)
Tableau: Data literacy for all
Tableau essential training (LinkedIn Courses)
Relational algebra essentials
PostgreSQL essentials (pgexercises.com)
Python Basics for Data Science from IBM (Coursera)
The Python Mega Course: Build 10 Professional Applications (UDEMY)
HTML and CSS Professional Course Lvl. 1 ( HTML Academy)
Grokking Algorithms by Bhargava Aditya (Algorithms in Python)
Date C.J. An Introduction to Database Systems
SoftServe Database Developer Course (in progress)
PowerBI Marsterclass (UDEMY)DA-100 Certification course(UDEMY)
Neuron Network starting course (Netology)
Has extensive experience in: data analysis using BI tools (5 years), team leading (5+ years),  data visualization and presentation (5+ years), project management in gamedev (1    year), customer communication (5+ years), start-up (non-tech) companies (5 years).

Experience / Tech Courses

a Mobile Game Studio
Data Analyst, Power BI Developer
2022

Single analyst on a game dev project. 
Analytics building almost from scratch. 
In-app events creation.
Customer retention, engagement, churn, etc tracking
Power BI+MS SQL+Python

A fintech application
Data Analyst, Data Scientist
 2021 – 2022
Power BI dashboads creating and updating. Sources: imported files, MS SQL DB, OLAP cubes.
Data ETL using Python if necessary for data analysis and visualization. Product analysis in Amplitude and Power BI.
Attribution analysis in AppsFlyers, Power BI, Python
Machine learning tasks: CNN in Keras+TensofFlow, scikit etc.

A Multinational Confectionery Corporation
Lead Business Analytical Manager
2017 – 2021

8 subordinates incl. 3 analytics specialists
Accountable for Baltics region development in terms of sales and analytics (8-digit EUR sales turnover and 7-digit budgets)
Reporting system creation from scratch, supervision over the Analytics team.
• sales reports, sales dynamics and plan/fact by customer, country, KAM, sales routes etc
• marketing reports incl. plan-fact spending, trade marketing events planning, promo efficiency tracking
• distribution and listing reports, distribution targets plan-fact, team distribution motivation etc
• pricing strategy creation, pricing monitoring report, promo monitoring reports
• PnL reports track
KA and distributor strategy creation and implementing
Trade marketing events planning, efficiency tracking and calculating. TM calendar creation
Special projects strategy, roadmap, PnL creation and implementing e.g: Distributor change, Exclusive sales team creating from scratch, Chocolate tablet brand introduction to market, Price increases etc
Would be great to have a possibility to learn and use my Data Science knowledge