Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2.5

1) During approximately 1 year time we developed a solution that was able to take a photo as an input with a mathematical formula written on it and tell what formula was written using Latex string representation (special format for math).
2) During 1 year time me and my team have developed an anti-fraud system that would detect fraudulent transactions based on the user's prior behavior. I analyzed tens of billions of user transactions, tested hypotheses, and was able to provide a model that served our needs. It had to retrain on a regular basis so we introduced an automatic data generation and retraining pipeline.
3) IELTS certificate level C1. Finished Coursera courses including machine learning from Stanford University, DeepLearning specialization, Tensorflow specialization, Tensorflow advanced techniques specialization, GANs specialization.
Have solid knowledge of machine learning basics, calculus, theory of probability, computer algorithms.
Experience working with Tensorflow, Keras, PyTorch, AWS, Airflow, MySQL, Time Series, Python libraries for data analysis including NumPy, pandas, Matplotlib, Sklearn.

Implemented models which included topics like computer vision, Tabular data science, GANs, distributed learning, Convolutional NN, and NLP. 

Also, have experience with REST API, AWS, GCP, and Docker.

Have mentoring and interviewing experience
Interested in developing Machine learning projects