Precious M.

Key Skills

Software

Remotasks

Don't disclose

Top Subject Matter

Medical/Health research (Type 2 Diabetes Mellitus)

Data analytics & programming (Python)

Top Data Types

Text

Top Task Types

Data Collection

Freelancer Overview

Lead Researcher — Bingham University (Research data collection & preparation). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Bachelor of Science, Bingham University. AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Data Collection, Computer Programming, and Coding.

Labeling Experience

Data Analytics Learner — Coursera (Online)

Other

Completed online data analytics and programming learning to build Python scripting capability for real-world data handling and structured analysis tasks. Applied learning to practice workflows that involve cleaning, structuring, and preparing data for analysis. Demonstrated ongoing commitment to self-development in technology through continuous coursework. • Built foundational Python skills for data-related work • Applied scripting knowledge to structured data handling practice • Practiced analytical workflows aligned with data interpretation tasks • Continued learning through an active, ongoing online program

2023 - Present

Lead Researcher — Bingham University (Research data collection & preparation)

Don't discloseTextData Collection

Conducted research activities involving structured questionnaire-based collection of quantitative health information for a Type 2 Diabetes Mellitus study. Ensured that participant responses were captured accurately and consistently to support reliable downstream analysis and interpretation. Worked with health-related attributes such as diet, BMI, and family history to identify key risk factors and patterns. • Designed and executed the study workflow for questionnaire data capture • Collected structured survey data from study participants with quality checks • Supported statistical analysis using collected health variables • Documented and evaluated information for research reporting and insight generation

2023 - 2024

Education

Work History