Position: Data Scientist
Category: Python
English level: fluent
Years of experience: 4


Identification of the most triggering messages for bank clients. NLP and Analytics
- Led successful completion of full ML pipeline, delivering data-driven insights and solutions to meet business goals
- Implemented and deployed 95% accurate message classification for bank clients
- Reduced call center load by 15% through data-driven analytics and solutions
Technologies: Python, AWS, Git, SQL, Minio, Pandas, Pyspark, Airflow, K-means, scikit-learn

Anomaly Detection in network logs. Cybersecurity
- Developed and deployed crucial anomaly detection model for bank security using Isolation Forest
- Improved model’s recall by 10% through modifications and optimization
Technologies: Python, AWS, Git, SQL, Minio, Pyspark, Hadoop, Airflow, PCA, K-means, Isolation Forest

Prediction of a project’s deadlines. Regression
- Facilitated weekly cross-functional brainstorming sessions resulting in successful collaboration with German business team
- Developed and deployed advanced machine learning models (PyTorch, XGBoost) resulting in 200% increased accuracy over human experts
Technologies: Python, AWS, Git, Bash, SQL, Docker, FastAPI, XGBoost, Pytorch

Anomaly detection in B2B transactions. Time series analysis
- Gained expertise in time series analysis and anomaly detection, trained advanced models resulting in improved predictions
- Deployed the anomaly detection service, resulting in a 30% reduction of false positives and outperforming existing models
Technologies: Python, AWS, SQL, Pandas, Docker, FastAPI, Prophet, Keras, Numpy, Scipy, Statsmodels

Autocompletion service for company users. NLP, Language Modelling
- Developed and deployed an autocompletion service utilizing FastAPI and Docker
- Designed and implemented neural network with attention mechanism, achieving 80% accuracy
Technologies: Python, AWS, SQL, Docker, FastAPI, Pytorch, Keras, LSTM, RNN, NLTK, Fasttext