The story of a project that never got the green-light — In recent years, the telemedicine market (remote medical services) and MedTech, in general, have been snowballing, and the coronavirus pandemic has only accelerated its development. …

What are data science pet projects, and why are they fascinating? This article was translated in collaboration with Klokov Alexey. The idea to write an article was born after numerous questions about personal projects in the Open Data Science (ODS) community. You will find ideas for new projects and useful…

What I have learned from my mistakes and successes — ~5 years ago, I started my career as a Data Scientist, and before that, I worked as an ERP-system consultant for 4+ years. During this time, I have worked on many different projects and met a lot of interesting people. Now I want to share some of my experiences, describe…

How I contributed to an NLP data augmentation framework and became one of the co-authors of the ML paper about it — Paper link Code link This paper presents a new participatory Python-based natural language augmentation framework that supports the creation of transformations (modifications to the data) and filters (data splits according to specific features). The current version of the framework contains 117 transformations and 23 filters for a variety of natural…

My experience of formal and informal mentoring for people at my job and outside of it — What is mentoring? How can I find a mentor? Questions like these are often asked on forums, on social media, and in communities. Mentorship is supposed to be an exciting situation when an experienced person shares insights and guides a mentee on a path to success pro bono. …

Several thoughts on being a data scientist — Data Science is often advertised as one of the best jobs in the world. Many companies are talking about AI. There are hundreds of different MOOCs for thousands of people who want to work as data scientists. Recruiters poach people, enticing them with better salaries and benefits. New SOTA approaches…

A new journey is beginning… Introduction Neural Networks Convolutional Neural Networks Recurrent Neural Networks Generative Adversarial Networks The end of this journey Self-Reflection As I wrote in the first post of this series, I was able to study DL Nanodegree thanks to successfully completing PyTorch Scholarship Challenge. I have already gone…