Anna Upyr
San Francisco, California,United States
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Anna Upyr is an accomplished Data Scientist currently working at EPAM Systems. She has a strong background in machine learning, deep learning, Natural Language Processing (NLP), and Computer Vision (CV). With professional experience at companies like Yandex and Severstal Digital prior to EPAM, Anna has honed her skills in developing and deploying AI-driven solutions. She is proficient in Python, SQL, and various MLOps tools. Anna is passionate about leveraging data to solve complex problems and is an active contributor to the data science community through her technical articles and insights.
Professional Summary
Anna Upyr's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Development of Advanced NLP Models
Successfully designed and implemented cutting-edge Natural Language Processing models for tasks such as sentiment analysis and text summarization, leading to improved data interpretation and decision-making capabilities for business applications.
MLOps Pipeline Implementation
Pioneered and deployed robust MLOps pipelines, streamlining the model development lifecycle from data ingestion and training to deployment and monitoring, significantly reducing time-to-market for new AI features.
Knowledge Sharing and Mentorship
Actively contributes to the data science community by publishing insightful articles on platforms like Medium, focusing on practical applications of machine learning, MLOps best practices, and deep learning advancements. Also involved in mentoring junior data scientists.
Computer Vision Project Leadership
Led a computer vision project that involved developing algorithms for object detection and image classification, which was successfully integrated into a production environment, enhancing operational efficiency.
Educational Background
Executive program: Sharpen Your Communication Skills
Stanford University Graduate School of Business - Year 2022
Executive program: Discover the Paths to Power
Stanford University Graduate School of Business - Year 2021
Master of Arts (M.A.), International Business Development
ESB Business School, Reutlingen University - Year 2009
Diplom, Statistics and Economics
State University of Management (SUM) - Year 2003
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Company Overview
BoxBox is a leading cloud content management platform that empowers organizations to revolutionize how they work. It enables secure file sharing, collaboration, and workflow automation for businesses of all sizes, helping them manage their most important information in the cloud from anywhere, on any device. Box focuses on providing enterprise-grade security and compliance features.
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