I have a full personal website now! You can find it here
I'm economist by education and usually try to understand why things happen.
For a long time I was fascinated by foreign languages and studied them: English (my native is Russian), German, Japanese, Spanish.
Currently I'm Data Scientist and an active Kaggler.
Also I have a portfolio listing some of my projects, which include Kaggle kernels, pet-projects and other things.
- NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
- My mentoring experience in Data Science: lessons taught and learned
- Data Science: can the job be fun or are we bound to face familiar problems every time
- What to do when you don’t get any medal in a Kaggle competition?
- A story of my first gold medal in one Kaggle competition: things done and lessons learned
- Из экономистов в дата-сайнтисты или как стать лидером рейтинга Kaggle Notebooks
- Обзор на статью Visual Transformers — новый подход к тренировке моделей компьютерного зрения на основе visual tokens
- Обзор на статью о FarSee-Net — новый подход к семантической сегментации в реальном времени
- Анализ результатов 2018 Kaggle ML & DS Survey
- Как сделать проект по распознаванию рукописных цифр с дообучением онлайн. Гайд для не совсем начинающих
2019:
- ML Training talks about gold winning solution in Kaggle Predicting Molecular Properties Competition
- An overview of 2019 year in Kaggle, Talk in Russian at ODS.AI event
- Data Halloween: predicting chaotic actions of clients. Talk in Russian at ODS.AI event
- Storytelling with data visualization: case of kaggle kernels. Talk in Russian at Data Fest 2019
- Interview with Kaggle Kernels Grandmaster #1: Artgor | Andrew Lukyanenko. Chai Time Data Science | player.fm link
- Kaggle: People, We’ve Gamified Progress
2020:
- Andrey Lukyanenko - Handwritten digit recognition w/ a twist & topic modelling over time
- Pair Programming: Deep Learning Model For Drug Classification With Andrey Lukyanenko
- DataFest 2020 talk: My Kaggle Story
- Overview of approaches to "Mechanisms of Action (MoA) Prediction" competition on Kaggle (3 weeks before the end of the competition)
- Metro Analysis and Visualization
- Writing reusable pipelines in Deep Learning | Mindhack! Summit
- December Lightning Talks. Training pipeline with Pytorch Lightning and Hydra
2021: