Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 3


Experienced Data Scientist specializing in Natural Language Processing with 3+ years of fintech industry experience. Skilled in Python, AWS, docker, and machine learning algorithms: transformers, attention mechanisms, and LLMs. I have successfully developed and deployed NLP solutions for NER and text classification. A collaborative team player with a passion for driving data-informed decision-making, I am eager to leverage my expertise in driving data-driven solutions for impactful outcomes.

Technologies:
Python 3, PyTorch, Pandas, NumPy, Snowflake, AWS, ONNX, Docker, Git.

Responsibilities:
- Neural network model training for NER and text classification tasks;
- Exploratory data analysis and insights generation;
- Neural network model fine-tuning and support;
- Git-based model repository management;
- Text related neural network optimization, quantization;
- Working with cloud computing platforms: AWS, Docker, Kubernetes;
- Implemented machine learning models based on Random Forest, XGBoost, LightGBM;
- Deployed machine learning models based on the Python, including through the front-end (Reacts) and through the API;

My remote work experience in Data Science demonstrates my ability to deliver high-quality results independently, communicate effectively with remote teams, and leverage advanced Machine Learning technologies to solve complex problems efficiently.