Position: Data analyst
Category: Data Analyst
English level: fluent
Years of experience: 4

Developed a prediction algorithm (SARIMAX based) to evaluate future demand with 85%+ accuracy (using python + GBQ + Data Studio), which allowed to use data-driven approach for resources planning instead of random guess.
Built and implemented company-wide marketplace health dashboard, which allowed fast, granular and accurate operational issues diagnosis to assist COO, country managers, operations executives. 
Implemented a number processes and reporting automations through ETL+ mailings + Google Sheets, that allowed to save ~10 working hours weekly. Key stakeholders: management + operations reporting.
Identified and helped implementing data-based product logic changes that allowed to reduce delivery times by up to 15%. 
Conducted SQL learning course for beginners at internal `Rocket BI School`.
Developed a ~90% accurate classification model (based on logistic regression) for identifying target URLs and speeding up the workflow (both sklearn and pyspark.mllib libraries).
Developed a forecasting model (SARIMAX based) for predicting future conversions for QA purposes. 
Simplified and automatized routine data ETL processes by combining Python, mySQL, AWS and Databricks capabilities for saving 10+ working hours weekly.
Analyzing websites' conversion (ecommerce purchases) based on clickstream data as well as web-scraping data (XPath and BeautifulSoup) and manual website research to retrieve insights about ecommerce performance. 
Conducted training sessions and wrote guidelines for personnel regarding funnel analysis principles.
Currently I am working at a product company that is engaged in tolling area. My day to day tasks are not just conducting various ad-hoc researches on marketing / operations / product, sales etc, but also developing new enhanced logics for more effective performance. For that I use statistical approcahes as well as machine learning techniques (latter mostly on previous jobs). 
Also usually try automating manual routine processes.
My previous experience encompasses food-tech (Ops / Marketplace streams), web analytics (Similarweb and IO Technologies) as well as financial roles (auditor, accountant, financial analyst).
I would be excited to work in a business that combines online and offline activities, as foodtech, car sharing, ride sharing etc or is a marketplace. But in general - any business where I can apply my skills and talents and see the result of my work will be cool.
Also I strive to improve my machine learming skills, so data science tasks or collaboration with data science team also would make a great opportunity for me.