Data Scientist / Machine Learning Engineer

I focus on applied machine learning and deep learning, with an emphasis on structured problem solving: EDA, feature engineering, model validation, and performance optimization.
My projects follow a Kaggle-style workflow with reproducible experiments and clear evaluation metrics.

Data Science & Machine Learning

Engineering

Development of a credit scoring model to predict client default and optimize bank portfolio profits: https://github.com/John-Gear/Home-Credit-Default-Risk-Kaggle-

Binary classification problem focused on predicting customer churn using feature engineering and model validation on structured data: https://github.com/John-Gear/Telco-Customer-Churn

Binary / multiclass image classification task: https://github.com/John-Gear/Nut_Classify_CNN

https://www.kaggle.com/johngearonline

• Trello to Planka Migration
  https://github.com/John-Gear/Trello_to_Planka_migration_script_2
• Planka Task Date Checker Bot
  https://github.com/John-Gear/bot_checker_date_planka_2.0
• Trello Downloader
  https://github.com/John-Gear/Trello_downloader

Professional Retraining Diploma — Data Science / Big Data Specialist
Corporate University of Sberbank, 2023

Higher Education Diploma — Master of Management
Lomonosov Moscow State University, 2014

• LinkedIn: https://www.linkedin.com/in/сергей-плотников-9b3760125/
• Email: plotnikoff.sergey@gmail.com
• Telegram: https://t.me/johngear

README is also available in Russian: README.ru.md