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Chetvergov Andrey ✨

ML Engineer 💻

📧 [email protected] 🚀 t.me/Chet1228 🐙 github.com/Chetoff1228 🧠 linkedin.com/in/chet-off1228

I'm Andrey, a skilled Data Scientist/ML Engineer based in Moscow. My expertise lies in NLP, CV, and ML, focusing on text generation, classification, image recognition, and object detection. I am proficient in SQL data analytics and Docker integration, bringing a blend of technical expertise and business acumen. With a proven track record in competitions and hackathons, I excel in delivering exceptional results.

Skills

Deep Learning: PyTorch, NLP, Language Models (e.g., GPT), CV, Key Point Detection, Image Matching Models, Face Recognition Models, YOLO8.

💡 Machine Learning: Regression, Classification, Catboost, PCA, Clustering Algorithms, Feature Engineering, Model Evaluation and Validation.

👨‍💻 Programming Languages: Python, R, SQL.

🛠️ Tools and Technologies: Git, Docker, Linux.

Hackathon Success

  • Computer Vision and AI Hackathon for UAVs Developed a computer vision system for unmanned aerial vehicles (UAVs), securing 3rd place in the All-Russian hackathon.

  • League of Digital Transformation 2023 - Computer Vision Track Achieved 7th place in a national competition focused on computer vision as part of the digital transformation initiative. Developed a comprehensive service with computer vision, UX, and frontend components.

  • DigitalHack 2023 - AI Application for Supporting Farmers Earned 5th place in the DigitalHack 2023 competition. Developed an advanced AI application for assisting local farmers, incorporating backend and frontend development, PDF parsing, and a dialogue model.

  • NLP Hackathon by HSE Collaborated on a project that achieved 1st place in an NLP hackathon organized by HSE. The project focused on analyzing banking reviews and utilized NLP techniques to extract valuable insights.

Education

  • Bachelor’s Degree in Digital Economics (2020-2024) Russian Academy of National Economy and Public Administration under the President of the Russian Federation. GPA: 4.6. Specialized in Theoretical Probability and Mathematical Statistics, Neural Networks, Algorithmization and Programming, Game Theory, Linear Algebra, Mathematical Analysis.

  • Tinkoff Education Programs (2021-2022) Completed the Tinkoff Education Program with specializations in Machine Learning and Deep Learning.

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