Position: Data scientist
Category: Data Science
English level: intermediate
Years of experience: 2

-  Successfully complete - Smart academy: Data science in Smart Business. 
- Microsoft Certified Professional (Querying Data with Transact-SQL, Designing and Implementing Big Data Analytics Solutions)
- 2nd place in int20 hackaton (Data science group)
- Speech on Dynamics Day 18, Smart Talks and other.
- Mentor on the Data science academy.
- VK-bot: https://github.com/avtokit2700/resume/tree/master/bot-vk
- 1.5 Years in Python Development.
- High Python skill
- R
- Neural Netrwork (Keras, Tenzorflow)
- NLP (Chat-bots, Natural language understanding) 
- Computer vision (Face recognition, object detection, OCR)
- ML alghoritm (Classification, Regression, Clustering)
- Predictive marketing
- Time series
- Big Data
- Business understanding 
- Advanced SQL (Transact-SQL)
- Statistical analysis
- Explore data analysis, feature engineering
- Visualisation(Power BI, matplotlib)
- Agile-development
- Linux/Ubuntu
- Git
- Working with libs: numpy, pandas, sklearn, matplotlib, keras.
Most of all I search difficult and different task, not only fraud detection or forecast. I'm open to widespread challenge.