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Hello, AI-world! 👋

Welcome to my GitHub profile! I am an engineer with a higher technical degree, and I am building a career in Data Science to help companies solve analytical and research problems. My main advantage is ability to learn quickly and effectively integrate into new processes. Because I have critical thinking and analytical mind.

I can be useful because I can parse information; analyze, process and visualize data; build, train and validate ML(DL, RecSys) models, evaluate their effectiveness; apply mathematics, for example, to formulate hypotheses and A/B testing. I work in Python, I know its ML libraries and DL frameworks, SQL, Git.

I'm currently active looking for a job. So thank you for visiting my profile! Here you can find my repos with different projects to figure out my abilities.

I expect interesting tasks from the employer-company, so the solution can be "felt" and there will be real benefits.

Николай Кривоногов's Projects

cv-insulators_defects icon cv-insulators_defects

Классификация дефектов изоляторов. Python, pandas, os, glob, shutil, pytorch, transforms, datasets, dataloaders, augmentation, tensorboard, train, evaluate nn-model, resnet18, checkpoints, save.

ml-numofdays_and_churn_prediction icon ml-numofdays_and_churn_prediction

Прогнозирование количества дней до следующей покупки и оттока посетителей сети ресторанов. Python, pandas, numpy, matplotlib, seaborn, sklearn, catboost, EDA, upsampling, feature generation, regression, classification, metrics, cross-validation.

ml_company-s_industry_prediction icon ml_company-s_industry_prediction

Прогнозирование отрасли (ОКВЭД) компаний по их транзакциям. Multiclass classification, python, pandas, numpy, sklearn, EDA, feature generation, SMOTE-upsampling, model selection, F1-metric.

nlp-talk_and_buy icon nlp-talk_and_buy

Telegram-чат-бот с тремя интентами - в зависимости от запроса пользователя LR разделяет действия на: поболтать (fastText) / купить (Юла) / сформулировать запрос четче.

recsys-anapskiy_recommender icon recsys-anapskiy_recommender

Рекомендательная система по подбору фильма из TMDB с фильтрацией по году / жанру / названию. Деплой в web-сервис посредством Streamlit.

rest-api-flask-rice_for_shell icon rest-api-flask-rice_for_shell

REST API на flask - классификация видов риса в честь моего друга по прозвищу Шел, который пообещал приготовить плов 100 раз - выбран открытый датасет (Rice Cammeo and Osmancik), реализованы ноутбуки с сервером и клиентом, собраны пайплайны, обучена логистическая регрессия, запущен сервис, построен запрос, успешное предсказание.

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