Position: Data analyst
Category: Data Analyst
English level: upper
Years of experience: 3

Experience:
- MS degree in Applied Mathematics
- Programming skills in Python (numpy, pandas, matplotlib, seaborn, scikit‑learn)
- Good understanding of statistical analysis
- Fundamentals in classical Machine Learning / Deep Learning
- Understanding of main principles of generative models
- Working with SQL databases
- Upper-intermediate level of English

Passed courses:
- Machine learning, OpenDataScience mlcourse.ai
- Feature Engineering, Kaggle
- Intermediate Machine Learning, Kaggle
- Data Visualization, Kaggle
More information here on linkedin/natali-susidyk-a05b381a3/

Key responsibilities:
- Primarily work with Product / Sport Managers and help them to make correct data-informed decisions
- Monitoring of the main indicators of the product. Development of own dashboards to improve the quality of monitoring in areas where this has not previously been carried out on an ongoing basis
- Сreating separate data sources and aggregates in the database for quick interaction with data and expanding the functionality of existing reports
- Building and optimization interactive Tableau dashboards for data visualization, analysis, monitorings, A/B testing
- Interpreting and conducting the results of A/B tests to optimize existing and implement new product features
- Consulting departments on data, analysis and ad-hoc requests
I am in search of Product/ Data Analysis jobs. I have a great desire to develop skills and work with the with professionals and masters, gain experience on real projects, knowledge and experience.