Hi there 👋
🔭 Now I am at the position of Data Analyst in one startup and, may be, in next 1-1.5 years will move to new role in Data Science.
15+ years of experience in Data Analysis, Business Intelligence, Business Analysis, Sales Operations, Project Management, Demand Forecasting, Sales etc. at FMCG (Procter & Gamble, Kimberly-Clark), Media (Group4M). I graduated from Lomonosov Moscow State University with Ph.D. in Applied Math.
My technical stack includes:
- Data Analysis: Python (+libraries), PySpark, SQL (PostgreSQL, ClickHouse etc.), advanced Excel.
- Data Visualization and analysis (BI): Tableau/PowerBI/Redash/Datalens.
- Statistical analysis including hypothesis validation.
- Data Engineering: Design of DWH/OLAP, ETL/ELT pipelines via Apache Airflow, familiar with Hadoop / Hive.
- Classic Machine Learning methods: regression, classification, clustering.
- Neural Network Basics: Keras / TensorFlow.
- Software version control: Git + Linux.
- Web Parsing / Scrapping: BeautifulSoap + Selenium.
- Product Analytics: Key metrics and analysis’ methods (Cohort, RFM, LTV and others).
- Financial Analysis: Analysis of financial statements, Unit-economy, financial modeling etc.
This is the link to the list of Certificates and Diplomas for completed courses: https://docs.google.com/document/d/10b3Bwa1oF2B9raTmVE5Nkra52efjLsbC/edit?usp=drive_link.
More information about my work experience can be found in my CV or in my Linkedin profile.
A year ago I started to upload some projects and tasks completed by me at different courses into the Github to share the level of my skills in analytical tools and business areas. I can't place examples of projects and tasks completed in the companies I worked for due to confidentiality agreements signed by me. Also, I started to add some ad-hoc tasks and projects completed by me.
📫 How to reach me: E-mail: grebenyuk.is@gmail.com or via phone: +7-926-795-54-41 or via Telegram: @IgorG1313.