Nathaniel M.

Key Skills

Software

Other

Don't disclose

Top Subject Matter

Business analytics dataset preparation for reporting and predictive modeling.

Media analytics and performance evaluation for video and live streaming campaigns.

Legal Services & Contract Review

Top Data Types

Text

Video

Document

Top Task Types

Data Collection

Freelancer Overview

Data Analyst Expert, Internship/Trainee. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Don't disclose. Education includes National Diploma, The Federal Polytechnic Nasarawa (2022) and Diploma, Alison (2023). AI-training focus includes data types such as Text and Video and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Media/Tech Consultant (Remotely)

Don't discloseVideo

Used analytics-driven monitoring to evaluate multimedia campaign performance and adjust content strategy based on measured engagement, reach, and related KPIs. Coordinated digital reporting for ongoing improvements by tracking metrics across platforms. Applied structured review cycles to refine media outputs using audience and performance signals. • Monitored engagement and reach metrics for content and campaign optimization. • Performed audience analysis using analytics tools to guide platform/content choices. • Produced performance-focused reports summarizing media initiatives. • Used observed outcomes to make data-driven adjustments to reach and engagement.

2020 - Present

Data Analyst Expert, Internship/Trainee

OtherTextData Collection

Collected datasets from multiple sources and prepared them for analytics by performing cleaning, preprocessing, and validation steps. Applied structured transformations in Excel and RStudio to standardize fields, handle missing or duplicate records, and ensure data integrity. Documented sources, transformations, and findings to support repeatable analysis and stakeholder reporting. • Data cleaning and preprocessing in Excel (Power Query, formulas, macros). • Handling missing values, duplicates, and incorrect data using RStudio (tidyverse, dplyr, ggplot2). • Transforming and aggregating data for Power BI reporting using DAX and Power Query M. • Maintaining documentation and collaborating on KPI definitions for dashboard use.

2022 - 2025

Education

Work History