Position: Junior Data Scientist
Category: Data Science
English level: upper
Years of experience: 1.5

Developed a hand gesture recognition system by using Google AI MediaPipe.
Developed a system that can recognize malicious e-mails and send a notification to the user.
Passed courses on Coursera that related to ML and Python
Experience:
• Rewrite Pytorch OCRNet(Object-contextual representations) with Multi-Scale Attention and HRNet(High-Resolution Representation Learning) to Tensorflow for semantic segmentation from satellite data.
• Rewrite Pytorch DSANet(Dual Self-Attention Network) model to Tensorflow for classifying data from satellites.
• Classify time-series data by using Multivariate attention with LSTM. And using Temporal Fusion Transformers for Multi-horizon Time Series Forecasting(Bitcoin prices)
• Using semi-supervised methods (SimCLR, MIxMatch, Noisy student models) to classify images from satellites. • Developed the desktop app for detecting malicious emails using conv1d and maxpooling layers;

- Using OpenCV with pre-trained CAFFE model(YOLO) to solve object detection classification on COCO dataset. Currently, working on hand keypoint detection graduate work in university;
- I had experience in building a telegram bot for recognizing a user's image with pre-trained ImageNet weights, namely the Xception model;
- Worked from scratch with Tiny ImageNet dataset which consists of 200 classes for classification;
- Took part on Hackathon where the main task was to create a virtual assistant that can give useful information for the user and get good revenue form that;
- I had experience with a real task that was provided by a mobile operator from my county. The goal was to classify 30k+ users whether or not they will change the tariff plan;
- Telegram bots development.
Looking for interestig projects that can help me to become more competent in my field activity.