Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 5

Developed a multilingual OCR system to outperform Tesseract, achieving a 20% error reduction.
Improved performance for Heart-rate monitoring from video using Transformers by 10% over SOTA solutions.
Using Transformers for developing a time-series analysis for credit scoring decreased the number of incorrect classifications by 30%, saving the company more than 100k USD.
Dedicated and results-driven Data Scientist with 5 years of experience in creating advanced solutions for computer vision, data analysis, and natural language processing. Proficient in various programming languages and frameworks including Python, PyTorch, TensorFlow, Java, and C++. Strong expertise in developing and deploying machine learning models for real-world applications. Skilled in data analysis, pipeline optimization, and open-source technologies.
To leverage my 5 years of experience to continue advancing the field of machine learning. I aim to contribute my expertise in creating and deploying machine learning models for real-world applications, while continually exploring innovative approaches and technologies. Through collaboration with multidisciplinary teams and a commitment to continuous learning, I strive to drive impactful solutions that push the boundaries of data science and contribute to the growth and success of cutting-edge projects and organizations.