Julia Golosova
Senior Data Scientist @Davies
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WORK HISTORY
Senior Data Scientist @Davies
GB
In my role as a Senior Data Scientist, I lead efforts in automating processes and advancing AI solutions in a high-paced setting. I focus on implementing efficient machine learning techniques to enhance document classification and data extraction. Key responsibilities include:Developed comparison logic for insurance documents, facilitating a shift from manual to automated auditing, significantly reducing error rates.Enhanced processing efficiency by optimizing codebase, cutting down processing time from 7 minutes to 30 seconds through innovative feature integration.Created a custom Named Entity Recognition (NER) model packaged for ready integration across multiple projects, improving data extraction and management.Collaborate with and mentor team members and new starters, sharing knowledge on Python, SQL, Docker, YAML pipelines, Test-Driven Development (TDD), and deploying functionalities using Azure.Set up and maintained CI/CD infrastructure for code deployment, utilizing Azure and Docker for seamless automation and reliability.
EDUCATION
University of Glasgow
Master's degree, Data Analytics
University of Dundee
Bachelor's degree, Mathematics
ABOUT JULIA GOLOSOVA
As a Senior Data Scientist within the insurance and law sectors, I am dedicated to leveraging innovative technologies to streamline processes and drive efficiency. With a strong proficiency in Python development, I specialize in creating and supporting robust applications tailored to automate diverse tasks within insurance operations. My expertise encompasses document classification, data extraction (ranging from basic information like names and dates of birth to complex injury details), and seamless integration of solutions into testing and production environments through CI/CD pipelines.In addition to my coding prowess, I excel in utilizing Test-Driven Development methodologies and harnessing various Azure products to optimize workflow efficiencies. I actively mentor and support fellow data scientists and new team members, serving as a go-to resource for Data Science-related inquiries and fostering collaborative environments for knowledge sharing and growth.Outside of my professional endeavours, I remain committed to staying abreast of emerging trends and advancements in the realm of Data Science. My pursuits include exploring cutting-edge models, particularly Language Model Pre-training techniques (LLMs), and honing my skills in Linux-based environments for enhanced learning and development opportunities.
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