Michael M.

Key Skills

Software

Other

Top Subject Matter

Research analytics (agriculture/enterprise research)

Business/financial analytics (livestock enterprise)

Top Data Types

Text

Top Task Types

Data Collection

Classification

Freelancer Overview

Research Assistant, Nachamada Farms (research data preparation and analysis). Brings 12+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Degree in Financial Modeling and Valuation, Corporate Finance Institute (2023) and Bachelor of Electrical Engineering, Ahmadu Bello University (2023). AI-training focus includes data types such as Text and labeling workflows including Data Collection and Classification.

Labeling Experience

Senior Data Analyst, Mr. Mike Livestock Enterprise (data preparation and visualization for reporting)

OtherTextClassification

Leveraged text, charts, and graphs to communicate analytical findings in an understandable format for business stakeholders. Created and automated data visualizations to present insights and drive decision-making based on structured business data. The role emphasized transforming existing data into reportable formats rather than labeling new training datasets. • Built and automated data visualizations for insights and storytelling. • Communicated findings using charts, graphs, and structured reporting. • Managed key tasks and resources supporting cost and schedule initiatives. • Supported analysis outputs used for strategic growth planning.

2015 - Present

Research Assistant, Nachamada Farms (research data preparation and analysis)

OtherTextData Collection

Performed statistical, qualitative, and quantitative analysis by gathering and correcting research data to ensure accuracy for downstream reporting and presentations. Organized research datasets into charts and graphs that highlighted results for stakeholders. This work functioned as research data preparation and structuring rather than AI model annotation. • Gathered, arranged, and corrected research data for representative visual outputs. • Used analysis to support presentation-ready results. • Attended seminars and symposiums to improve research and analytical practices. • Supported creation of graphs and charts based on prepared datasets.

2015 - Present

Education

Work History