Data Interpreting: Analyzing vast datasets generated by AI systems and large language models to extract meaningful insights and actionable recommendations aimed at improving business processes and outcomes.
Data Labeling and Manipulation: Processing batches of data, applying labelling techniques and manipulation methods as per project requirements, ensuring a high level of accuracy in data processing.
Quality Assurance: Taking ownership of the data quality, actively identifying and addressing any issues or anomalies to ensure the integrity and reliability of the data used for AI model training.
Collaboration: Collaborating closely with Data Science and Product teams on various projects, providing expertise in data analysis and contributing to developing data quality metrics. Working collaboratively to identify new attributes and features that can enhance model performance and usability.
Continuous Improvement: Staying updated with advancements in AI technologies and data analysis methodologies, continuously seeking opportunities to enhance data analysis techniques and processes to drive better business outcomes.

Started as Order Entry Associate. Was promoted to Outsourcing Specialist.
Placing orders in such IT platforms as Admin, Outsource Queue to ensure smooth production of the company's multiple products both inhouse and by the company partners.
Interacting with sales reps, production team and company partners and vendors, being part of both sales and product teams.
Taking part in various product projects, including reaching out to warm and cold leads, registration of new customers, market research, updating vendors’ price grids, shipping terms, tracking estimated and actual sbds etc.

Data entry/labelling/processing across various data feeds in the company's IT platforms: ProductsUp, Catalog Kiosk, e-Kiosk.
Updating existing scene images, creating new scene images and data collecting.
Wrangling tickets in Atlassian Confluence/Jira.
Participating in daily standups with the Project Manager, monthly standups with the CTO, yearly meetings with the CEO of the company.
Collaborating with the team through Slack and Google Meet on a daily basis.