Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 4

- Developed and deployed a driver behavior estimation model that can accurately estimate user driving and identify potentially dangerous events in real-time.
- Designed, developed, and deployed a predictive maintenance model that provides crucial car maintenance recommendations based on detailed analysis of vehicle data.
- Created a proof of concept for a car bumping detection model that can detect and alert users of potential collisions.
- Built a GPS filtering model that effectively removes noise from GPS data in real-time.
- Built an ML model that proposes the optimal path for a driver, taking into account fuel consumption to help users save on gas.
- Co-designed and developed a user verification model based on pictures, ensuring reliable user authentication.
- Built a churn prediction model for banking data, helping the company retain customers.
- Served as a part-time backend developer for a startup platform, contributing to the development of their platform.
- Mentored new team members.
- Conducted extensive research, reviewing papers and creating proof of concept models for possible automotive, locating, dentistry, and interior design projects.
- Kaggle Notebooks Master
- Bronze medal for Google QUEST Q&A Labeling Competition (Kaggle)

My main responsibilities: exploratory data analysis, paper analysis, data cleaning, data preprocessing, machine learning and deep learning model training and tuning, error analysis, and model deployment.
ABOUT ME
I am a data scientist with 4+ years of experience, specializing in data exploration, processing, and building ML and NN models. My work has been focused on the automotive industry, but I am always eager to learn and take on new challenges. I approach my work with passion and a strong work ethic, with an ability to quickly adapt to new situations. Overall, I am a motivated and skilled data scientist who is eager to take on new projects and advance my knowledge and skills.
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MY SKILLS
Approaches: linear models, SVM, Decision Trees, Random Forest, Gradient Boosting, k-nearest neighbours, PCA, MLP, CNN, RNN (LSTM, GRU), GAN, Transformers

Tasks: image classification, image generation, time series forecasting/classification, clustering, sentence classification

Technologies: python, pandas, numpy, pytorch ,tensorflow/keras, scikit-learn, xgboost, lightgbm, transformers, plotly, matplotlib, seaborn, streamlit, FastAPI, Django REST framework, PostgreSQL, Docker, Docker-compose, Gitlab CI/CD, AWS
I'm open to all interesting opportunities