Position: Data Scientist/Data Engineer
Category: Data Science
English level: upper
Years of experience: 8

Azure Data Scientist Associate

Coursera specialization:
Machine Learning & Data Analysis Specialization
Deep Learning Specialization
Algorithms specialization by Stanford University
Data Scientist/Data Engineer with math background and 5+ years of experience in building data-driven solutions (7+ years in software development in total). Passionate about solving different problems alongside learning something new.
For most of my relevant experience, I worked for an outsourcing company(Big Data and Analytics). As a member of the R&D department, I worked on mostly short/mid-term projects and internal ones for the company itself. 
My experience is balanced between Data Science and Data Engineering, sometimes dealing with both roles on the same project. you can find details on the latest projects below.

Data Engineering Projects – Databricks Engineer
- Project result: Speeding up an existing e2e solution by 10x times using big data  tools and frameworks
- Designing and implementing ETL workflows for collecting structured and semi-structured data
- Building Quality Control framework for data cleansing
Tech stack: Python, PySpark, SQL, Databricks, Azure platform

Sales Forecasting Project – Data Scientist/ Data Engineer
Project result: developed helper tool for the sales department, which is used for decision-making process 
Designing and implementing ETL workflows for collecting data
Building ML solution to forecast product sales based on early market lifetime
Tech stack: Python, ​Pandas, Scikit-learn, XGBoost, Azure platform

Employee Leave Forecasting – Data Scientist
Project result: developed PoC helper tool for the HR department
Parsing and collecting data from different sources (Databases, excel files, third-party APIs)
building ML models to predict employee leave
Tech stack: Python, ​Pandas, Scikit-learn, XGBoost