Published in Towards Data Science·PinnedA long-term Data Science roadmap which WON’T help you become an expert in only several monthsSome thoughts on becoming a data scientist. It isn’t easy or fast and requires a lot of efforts, but if you are interested in data science, it is worth it. — From time to time I am asked: how does one become a data scientist? What courses are necessary? How long will it take? How did you become a DS? …Data Science7 min readData Science7 min read
Sep 9How We Tried to Create a Medical ChatbotThe 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. …NLP22 min readNLP22 min read
Sep 6Data Science Pet Projects. FAQWhat 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…Data Science16 min readData Science16 min read
Aug 8Lessons learned after 10 years in ITWhat 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…Careers27 min readCareers27 min read
Published in Towards Data Science·Dec 10, 2021NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationHow 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…NLP6 min readNLP6 min read
Published in Towards Data Science·Apr 22, 2021My mentoring experience in Data Science: lessons taught and learnedMy 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. …Careers17 min readCareers17 min read
Feb 16, 2021Data Science: Can the job be fun or are we bound to face familiar problems every time?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…Data Science7 min readData Science7 min read
Published in Towards Data Science·Apr 11, 2020Member-onlyWhat to do when you didn’t get any medal in a Kaggle competition?Be like gradient descent — learn from the errors! Several weeks ago one more Kaggle Competition has ended — Bengali.AI Handwritten Grapheme Classification. Bengali is the 5th most spoken language in the world. This challenge hoped to improve on approaches to Bengali recognition. …Deep Learning7 min readDeep Learning7 min read
Published in Towards Data Science·Sep 1, 2019Member-onlyA story of my first gold medal in one Kaggle competition: things done and lessons learnedOr a story about a great team — Taking part in kaggle competitions is a serious challenge. You need to spend a lot of time and efforts, study new things and try many tricks to get a high score. …Machine Learning7 min readMachine Learning7 min read
Published in DataDrivenInvestor·Aug 15, 2019PyTorch Deep Learning Nanodegree: The end of this journeyA 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…Udacity3 min readUdacity3 min read
