Position: Data scientist
Category: Data Science
English level: fluent
Years of experience: 3

AI Spring hackathon
April 2017
We created an app that told you how good is your photo in real-time
Our team project was chosen in the top 4 out of 34

Kaggle participant
From June 2017 - September 2017
(CV project, classification on 257 classes)
Build models, use transfer learning with such architecture as, InceptionV3, Xception, DenseNet, Resnet, MobileNet, SqeezeNet;
Try optimization methods for neural network such as knowledge distillation, pruning;
Got a 4th place on Kaggle Leaderboard and 2d on private custom Leaderboard.

Data Science Hackathon
February 2018
Time series regression task 
Predict the count of members in the tender.
Kaggle in class format,  as a result our team win 3d place.
Good knowledge in Math;
 Knowledge of Python ML libraries: numpy, pandas,
scikit-learn, scipy and computer vision libraries: OpenCV,
Shapely, Pillow;
 Experience of working with classical ML algorithm;
 Experience of working with Deep learning;
 Frameworks: Keras, Tensorflow, PyTorch;
 Experience of working with Docker, Kubernetes;
 Experience of working with Big Data( MapReduce, Spark);
 Worked with bash, awk;
 Worked with algorithms;
 Knowledge of OOP/OOD principles;
 Experience of working with design Patterns;
 Multithreading(base knowledge);
 Experience of working with REST API;
 Knowledge of SOLID, TDD principles;
 Git;
 JIRA;
 Working in Scrum, Kanban.
Great team and interesting projects, improve my skills.