About

Anna Zhuravleva is a highly motivated and data-driven Software Engineer at Google with over four years of experience in the field. She has a strong passion for data science and software engineering, and her astute knowledge of machine learning principles, data analysis techniques, research methodologies, and statistical modelling tools make her an invaluable asset to any team. Anna is familiar with the entire software development process, from design and development to testing and deployment. She is skilled in crafting code for various software functions, testing functionality of applications, and tweaking the code to perfection. Having recently completed her master’s degree in Computer Science from Moscow Institute of Physics and Technology, Anna has refined her strengths in the fundamentals of computer vision and software engineering. She has the ability to conduct research in deep machine learning techniques and find solutions for computer vision, image and video processing. Anna's expertise lies in evaluating and analyzing large data sets and applying ML and mathematical techniques to model business metrics and generate accurate insights and predictions. She has a talent for devising data-driven solutions for complex business problems, communicating with a wide range of audiences, and effectively working on open-ended problems with limited guidance. Anna is instrumental in collaborating with developers, data engineers, clients, and other product stakeholders to enhance product features, functionality, and reliability. Anna has hands-on proficiency in Linux, Unix, Windows, Python, C++, SQL, LateX, R, C, OpenCV, Scikit-learn, Pandas, SciPy, XGBoost, Flask, Docker, TensorFlow, Agile, and MapReduce. Prior to joining Google, Anna worked as a Data Scientist at Bumble and as a Software Engineer at Yandex. At Yandex, Anna was responsible for researching and developing deep learning models for production to improve searching quality. She also liaised with stakeholders to analyze problems, clarify requirements, and define the scope of the resolution needed. Anna researched and implemented best practices to improve the existing deep learning infrastructure. Anna has a Master's degree in Computer Science from Moscow Institute of Physics and Technology and a Master's degree in Big Data from Yandex School of Data Analysis. She also holds a Bachelor's degree in Computer Science from Moscow Institute of Physics and Technology. Anna's tech stack includes Software Engineering, Machine Learning, Computer Vision, Research Scientist, SQL, XGBoost, OpenCV, Scikit, MapReduce, Python, TensorFlow, Infra, Docker, Pandas, Flask, Deep Learning, and Search.