Mololuwa V.

Key Skills

Software

Clickworker

Data Annotation Tech

Top Subject Matter

Medical research

Aerospace/engineering simulation data

Top Data Types

Text

Image

Medical Dicom

Top Task Types

Classification

Data Collection

Freelancer Overview

Data Annotation Assistant (Medical Research). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Bachelor of Engineering, Federal University of Technology, Akure. AI-training focus includes data types such as Medical, DICOM, and Text and labeling workflows including Classification and Data Collection.

Labeling Experience

Project Work: Quadcopter Surveillance Optimization

TextData Collection

Collected, organized, and analyzed aerodynamic and performance data from simulations and prototype testing to support engineering decisions. Structured and prepared datasets used for comparative analysis of design configurations. Generated datasets and visualized performance trends from simulation outputs. • Collected and organized simulation/prototype datasets • Performed comparative analysis across multiple configurations • Visualized performance trends using simulation outputs • Documented and presented findings to support optimization decisions

2024 - 2024

Data Annotation Assistant (Medical Research)

Classification

Labeled and categorized medical and research data according to strict annotation guidelines and project SOPs. Conducted dataset reviews to validate labels for high accuracy and consistency. Identified patterns, inconsistencies, and errors within large volumes of data to improve dataset quality. • Performed quality review and data validation • Ensured adherence to annotation guidelines and confidentiality requirements • Checked for inconsistencies and labeling errors • Collaborated with supervisors to meet quality and productivity targets

2024 - 2024

Education

Work History