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Candidate

Male, 39 years, born on 1 April 1986

Gomel, not willing to relocate, not prepared for business trips

Data Analyst

Specializations:
  • Analyst
  • Data scientist

Employment: full time, part time, volunteering

Work schedule: full day, flexible schedule, remote working

Work experience 11 years 5 months

August 2020currently
4 years 10 months
Yandex.Practicum
Data Analyst (training)
Data processing and analysis using Python: - data collection (sqlalchemy, BeautifulSoup, SQL); - data preprocessing (pandas, NLTK, pymystem3); - data visualization (matplotlib, plotly, seaborn); - dtatistical data analysis and hypotheses checking: (numpy, scipy.stats); - A/B-testing (scipy.stats); - business metrics analysis (conversion rate, funnel analysis, Retention Rate and Churn Rate, LTV and CAC, ROI, HEART and AARRR frameworks). - dashboards creation (Dash, Tableau Public); - results and conclusions presentation. Examples of completed projects: Optimization of marketing costs in Yandex.Afisha (https://github.com/dmitryakushev/yandex-praktikum-projects_EN/tree/main/marketing_expenses_optimisation_Ya-afisha): - analysis of data from Yandex.Afisha in order to optimize marketing costs; - cohort analysis; - metrics calculation: LTV, CAC, Retention rate, DAU, WAU, MAU, ROMI. Research of the video games market based on data from open sources from 1977 to the present (https://github.com/dmitryakushev/yandex-praktikum-projects_EN/tree/main/video_games_market_project): - overall evaluation of the current state of the computer games market; - research of games releases and sales dynamics by year in the context of the most popular gaming platforms (Pandas, Seaborn, Matplotlib); - studied the impact of critics' ratings and user reviews on game sales (Pandas, Seaborn, Pearson correlation coefficient). - compiled a portrait of a typical user for each world region (Pandas, Matplotlib); - tested hypotheses about the difference in average user ratings depending on the gaming platform and genre (numpy, scipy.stats); - a forecast for the next year was formed, including the identification of the most promising gaming platforms and genres.
May 2017currently
8 years 1 month
Lightspeed HQ

www.lightspeedhq.com/

IT, System Integration, Internet... Show more

QA Engineer
Manual testing of web and mobile applications (exploratory, functional, regression, GUI); API testing (Postman); Web services testing (Charles); Designing test documentation: test cases, decision tables, state transition diagrams; Writing bug reports and verification of defects; Developing automated tests using Python Selenium WebDriver and CI/CD approach;
January 2014April 2017
3 years 4 months
Exadel

exadel.com/

IT, System Integration, Internet... Show more

senior QA Engineer
Manual testing of web and mobile applications (exploratory, functional, regression, GUI); Designing test documentation: test cases for functional and regression testing; Requirements verification; Performing cross-browser and cross-platform testing; Writing bug reports and verification of defects;

Skills

Skill proficiency levels
Python
SQL
Pandas
A/B testing
Business Metrics
Statistical Analysis
Matplotlib
Plotly
Seaborn
Tableau
Dash
Git

Driving experience

Own car

Driver's license category B

About me

For many years I have been working as QA engineer on various projects. However, after a certain milestone, I noticed that The number of challenging and interesting tasks decreases and I stop growing as a specialist. So, I decided to change my specialisation to data analysis. The motivation for this decision was: - I was always interested in analyzing the possible causes of events (both during QA work and in everyday life); - the data analyst has almost unlimited potential for growing as specialist (technical knowledge and skills, business knowledge, communication skills). - in my opinion, data analysis is not only on the rise now, but will remain relevant in the future. In my free time I try to fill in the gaps in my knowledge of statistics and mathematics (for example, recently completed the course "Fundamentals of Statistics" from Anatoly Karpov, which I liked it very much). I like to watch studies of other analysts (I was surprised that such studies can be found on almost any topic of interest). I also like to read popular scientific literature (favorite book is "Think Slow ... Decide Fast" by Daniel Kahneman). Hobbies: bike, snowboard, bass guitar.

Higher education

2008
Internation Sakharov Environmental University
Environmental Medicine, Environmental Medicine and Radiobiology

Languages

RussianNative


EnglishB2 — Upper Intermediate


GermanA1 — Basic


Citizenship, travel time to work

Citizenship: Belarus

Permission to work: Belarus

Desired travel time to work: Doesn't matter