Rita Ukamaka O.

Key Skills

Software

Appen

Other

Top Subject Matter

E-commerce search relevance and product discovery

E-commerce search analytics

Taxonomy/tagging Domain Expertise

Top Data Types

Text

Video

Top Task Types

No task types listed

Freelancer Overview

Senior Search Relevancy Specialist at Crowdgen By Appen (2022–2023). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Appen and Other. Education includes Master of Public Health, N/A (2026) and Bachelor of Science, Ebonyi State University (2019). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

E-commerce Search Analyst at Upwork (2024–2025)

OtherText

Analyzed e-commerce search logs and performance metrics to identify gaps in product discovery and user intent matching. Built KPI dashboards to track search performance and supported merchandising efforts through relevance tuning and taxonomy improvements. Contributed to improved search accuracy by enhancing product taxonomy and tagging structures used by the search system. • Analyzed search logs to identify gaps in product discovery and user intent matching. • Built dashboards to monitor CTR, revenue per search, and bounce rate KPIs. • Enhanced product taxonomy and tagging structure to improve search accuracy. • Supported merchandising teams in boosting product visibility through relevance tuning.

2024 - 2025

Senior Search Relevancy Specialist at Crowdgen By Appen (2022–2023)

AppenText

Performed search relevancy optimization work involving analysis of queries and on-site search behavior to improve product discovery and ranking outcomes. Used query parsing, synonym mapping, and query expansion approaches to reduce zero-result searches and improve intent matching accuracy. Collaborated with engineering and data science teams to support deployment of machine learning models for search ranking in a marketplace context. • Improved on-site search relevance by refining ranking algorithms and query parsing logic. • Led A/B testing initiatives that increased search-to-purchase conversion rates by 80%. • Developed and optimized product ranking signals including popularity, CTR, and conversion weighting. • Reduced zero-result queries via improved synonym mapping and query expansion strategies.

2022 - 2023

Education

Work History