Position: Data scientist, Data Analyst
Category: Data Science
English level: upper
Years of experience: 7

Strong math skills, knowledge of trading markets (sports, cryptocurrency), problem solving
reduced chargeback levels from 3% to 2.2%, reducing lost parcels by 10%
Seven years of experience in data science & data analysis in different sectors of business.
Date analysis, Designing and implementing dashboards, alerts, and reports, A/B testing, ML models

Graduated NTUU KPI (physical technical institute) -- applied math.
Passed courses on  Coursera, Datacamp, udemy

Power Bi, Tableau, Data Studio, QuickSight
Docker, git, AWS
rdbms: oracle sql, Mysql, postgreSQl
nosql: DynamoDB, mango DB
python, matlab, C++
python libs: pandas, numpy, scipy, statsmodels, matplotlib, seaborn, scikit-learn, dask, pytorch etc
professional growth