Position: Machine Learning Engineer/Data Scientist/Python Developer
Category: Python
English level: intermediate
Years of experience: 2.5

Courses:
- Web Development in Python & Django - ​http://itbursa.com/python
- Software Development Processes -
 https://www.udacity.com/course/software-development-process--ud805 
- Andrew Ng, Machine Learning - ​https://www.coursera.org/learn/machine-learning/ 
- Machine Learning A-Z - ​https://www.udemy.com/certificate/UC-C6DVIDAP/ 
- Machine Learning Crash Course with TensorFlow APIs - 
https://developers.google.com/machine-learning/crash-course/
Python Developer and Data Scientist at ActiveWizards: machine learning company.
Main projects in which I participated: 
- Face recognition and person identification from real-time streaming cameras. 
Technology stack: Python, TensorFlow (FaceNet NN architecture), Apache Kafka, Cassandra, Lua, PostgreSQL, AWS API (S3, FR), Baidu API (BOS, FR), Docker. 
- Detection of abnormal behaviour of hospital employees (doctors, nurses, etc.) based on workstations log activity, for instance, VIP snooping, looking of disease history of colleagues and so on. 
Technology stack: Python, Apache Spark (working with parquet files), scikit-learn, plotly, Google Geolocation API. 
- Identification of a Salary Board’s Job Index (SBJI) for a job title based on industries and levels hierarchy proposed by Salary Board. 
Technology stack: Python, Pandas, NumPy, NLTK, fuzzywuzzy, pattern. 
Other activity: 
- Development of web applications and RESTful API services 
- D3.js dashboards and visualization 
- Research 
- The education courses assistant writer and blog-posts writing (Python, ElasticSearch, MongoDB, Spark, CNTK)