Yelena G.

Key Skills

Software

No software listed

Top Subject Matter

Customer Support

Risk Analysis and ROI

Research and Advisory

Top Data Types

Text

Document

Top Task Types

Classification

Entity (NER) Classification

Data Collection

Freelancer Overview

Data and Analytics Intern — University of Minnesota Duluth Career Services (AI/automation and data preparation). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Arts, University of Minnesota Duluth (2024). AI-training focus includes data types such as Text and labeling workflows including Classification, Entity (NER) Classification, and Data Collection.

Labeling Experience

Client Success Associate — Gartner (ongoing client enablement and requirements collection)

TextData Collection

As a Client Success Associate at Gartner, you work with senior executive stakeholders using platform demonstrations that translate business priorities into value delivery and measurable outcomes. While this role is not labeled as data-annotation, your ongoing client enablement and value alignment work depends on collecting and organizing client/account requirements and engagement contexts for solution fit. This is best represented as data collection of structured client requirements for downstream decisioning. • Demonstrated the Gartner platform to 800+ prospects, aligning value to business priorities • Contributed to over $2.1M in contract value through stakeholder engagement • Upskilled via mentorship and programs to improve client-driving effectiveness • Collaborated with product managers, account executives, and research analysts to surface client challenges and maximize delivered value

2024 - Present

Data and Analytics Intern — University of Minnesota Duluth Career Services (AI/automation and data preparation)

TextClassification

As a Data and Analytics Intern, you cleaned, standardized, and prepared large volumes of alumni outcome records to support downstream evaluation of outcomes and ROI. Your work involved transforming raw text-based alumni data into consistent, analysis-ready structured records used for reporting and performance review workflows. This is best characterized as classification/preparation of record types based on standardized outcome fields. • Cleaned and standardized 5,500+ alumni outcome records • Improved data accuracy by 98% through normalization and consistency checks • Enabled performance reviews tied to long-term outcomes and ROI • Built reliable data foundations to support dashboards and stakeholder reporting

2023 - 2024

Client Success Intern — Gartner (domain guidance and client utilization analysis)

TextEntity (NER) Classification

As a Client Success Intern at Gartner, you supported client work that included Generative AI, cloud architecture, and data governance guidance, which required understanding and organizing AI-related client information. You analyzed client utilization and onboarding/product adoption friction points, effectively translating client narratives into actionable insights and structured improvement recommendations. This aligns most closely with entity classification of client/account context for adoption analytics. • Supported 150+ client accounts through tailored guidance across Generative AI, cloud architecture, and data governance • Partnered with Client Success Managers to analyze utilization and identify onboarding friction points • Proposed scalable improvements to improve client experience • Monitored engagement trends and surfaced at-risk accounts

2023 - 2023

Education

Work History