Position: Data Analyst/Scientist
Category: Data Science
English level: intermediate
Years of experience: 2


Over the past 2 years I have successfully grown to be a Data Analyst within an e-commerce company thanks to the "Data Analyst in Python" course I was enrolled in during Oct '2019 - Apr ’2021. Additionally from May '2021 I have started and now is continuing the “AI Developer” course, so staying permanently in the learning  and growing process is a usual kind of my personality. Thanks to the gained programming and analytical skills I was able to set up and automate the assessment process of different departments' workflow, to build and track the most important business metrics, as well as support managers in decision-making on a daily basis.
I am constantly looking for a challenge opportunity where I would be able to improve my existing skills and to learn more and gain new AI/big data experience.

Experience
May’2021 - present at the University of Artificial Intelligence - Data Scientist Student
- Programming in Python (Pandas, Numpy, Scikit-Learn)
- Collecting and parsing data from different sources (defining duplicates, outliers, removal of redundant features, changing data types, feature preprocessing before models creating)
- Data visualization (matplotlib)
- Creating and quality estimating classical machine learning models, neural networks (Keras.Tensorflow), improving models efficiency. 

Jul’2017 - Dec’2021 at MROSupply.com - Data Analyst (remote/full-time position) since Oct’2019
In the e-commerce company that dropships industrial parts of the most famous brands within the US, I have worked mainly in Tableau, with PostgreSQL DB in Redash (before RJMetrics), Google Spreadsheets (pivot, vlookup, charts), Google Analytics. Some examples of reports and visualizations I made:
- Different KPI, PJRs reports, control charts & dashboards in Tableau and RJMetrics
- Customers analysis like drop-off tracker, CLV, churn and satisfaction (NPS) rates in Tableau
- Market Basket Analysis in Tableau
- Оценка здоровья бренда - analysis of products via diff measures including google indexing checking
- SQL reports
- Data scraping using Beautiful Soup in Python
- Recommender system for selected products in Jupyter Notebook
- Shipping costs prediction nonlinear model in Jupyter Notebook
Opportunity to use and develope my Tableau, SQL, Python skills and to grow in ML/AI area.