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Mustapha Bashiru

Mustapha Bashiru

Data Analytics Job Simulation

NIGERIA flag
N/A, Nigeria
$10.00/hrExpertOther

Key Skills

Software

Other

Top Subject Matter

Business/Economic Data
Consumer Behavior Data
Social/Behavioral Survey Data

Top Data Types

TextText
DocumentDocument

Top Task Types

Classification

Freelancer Overview

Data Analytics Job Simulation. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and EViews. Education includes Bachelor of Science, Adamawa State University (2025). AI-training focus includes data types such as Text and Document and labeling workflows including Classification.

ExpertEnglish

Labeling Experience

Inventory Data Classification System

OtherDocumentClassification
I built an Inventory Data Classification System that automatically labeled stock data using advanced Excel logic. Structured labeling rules were applied to classify SKUs, margins, and flag outliers. This solution enhanced inventory tracking and alerted low-stock items through labeled data triggers. • Automated classification of inventory datasets • Developed logic-based labeling in Excel • Flagged outliers and threshold items systematically • Improved inventory management with structured data labeling

I built an Inventory Data Classification System that automatically labeled stock data using advanced Excel logic. Structured labeling rules were applied to classify SKUs, margins, and flag outliers. This solution enhanced inventory tracking and alerted low-stock items through labeled data triggers. • Automated classification of inventory datasets • Developed logic-based labeling in Excel • Flagged outliers and threshold items systematically • Improved inventory management with structured data labeling

2026 - 2026

Survey Data Annotation Social Media Addiction Study

OtherTextClassification
In the Social Media Addiction Survey Data Annotation project, I developed coding systems for behavioral survey responses. I classified qualitative responses into structured categories correlating addiction with academic performance. I maintained inter-rater reliability and interpreted results to generate valid research insights. • Designed and coded survey instruments for behavior analysis • Applied labeling conventions to qualitative and quantitative responses • Ensured data validity through structured annotation • Delivered research insights based on annotated data

In the Social Media Addiction Survey Data Annotation project, I developed coding systems for behavioral survey responses. I classified qualitative responses into structured categories correlating addiction with academic performance. I maintained inter-rater reliability and interpreted results to generate valid research insights. • Designed and coded survey instruments for behavior analysis • Applied labeling conventions to qualitative and quantitative responses • Ensured data validity through structured annotation • Delivered research insights based on annotated data

2026 - 2026

Google Data Analytics Capstone

OtherTextClassification
In the Google Data Analytics Capstone project, I managed end-to-end analytics, including annotation-style classification of consumer data. I applied structured labeling logic to highlight behavioral patterns suited for AI training. My efforts produced high-quality, reproducible datasets for analytical models. • Performed structured labeling and classification of text data • Ensured data consistency and reliability for AI applications • Developed clear frameworks for labeling consumer datasets • Supported AI training through detailed data annotation

In the Google Data Analytics Capstone project, I managed end-to-end analytics, including annotation-style classification of consumer data. I applied structured labeling logic to highlight behavioral patterns suited for AI training. My efforts produced high-quality, reproducible datasets for analytical models. • Performed structured labeling and classification of text data • Ensured data consistency and reliability for AI applications • Developed clear frameworks for labeling consumer datasets • Supported AI training through detailed data annotation

2026 - 2026

Data Analytics Job Simulation

OtherTextClassification
During the Data Analytics Job Simulation, I classified and structured datasets using Excel, directly applying data labeling skills. I evaluated and validated outputs for logical consistency, mirroring real-world AI analytics workflows. I built visual dashboards to demonstrate the annotation-to-insight process in AI pipelines. • Classified business data in Excel for label accuracy • Evaluated and validated AI-generated outputs for quality • Built dashboards reflecting labeled data for business insights • Practiced structured annotation as part of simulation tasks

During the Data Analytics Job Simulation, I classified and structured datasets using Excel, directly applying data labeling skills. I evaluated and validated outputs for logical consistency, mirroring real-world AI analytics workflows. I built visual dashboards to demonstrate the annotation-to-insight process in AI pipelines. • Classified business data in Excel for label accuracy • Evaluated and validated AI-generated outputs for quality • Built dashboards reflecting labeled data for business insights • Practiced structured annotation as part of simulation tasks

2026 - 2026

Carbon Emissions & Economic Growth Research

DocumentClassification
As part of the Carbon Emissions & Economic Growth Research, I labeled and structured complex economic time-series data for regression analysis. Consistent coding conventions supported robust model input and reliable outputs. Using EViews software, I prepared datasets aligning with analytical best practices for AI training. • Labeled economic and emissions datasets for time-series analysis • Coded variables for regression and analytic models • Maintained clear data conventions for AI training reliability • Used EViews for structured annotation and preparation

As part of the Carbon Emissions & Economic Growth Research, I labeled and structured complex economic time-series data for regression analysis. Consistent coding conventions supported robust model input and reliable outputs. Using EViews software, I prepared datasets aligning with analytical best practices for AI training. • Labeled economic and emissions datasets for time-series analysis • Coded variables for regression and analytic models • Maintained clear data conventions for AI training reliability • Used EViews for structured annotation and preparation

2025 - 2025

Education

A

Adamawa State University

Bachelor of Science, Economics

Bachelor of Science
2021 - 2025

Work History

S

SS Consulting

Founder and Lead Consultant

N/A
2026 - Present
N

NYSC

NYSC Corps Member

Kano/Jigawa
2025 - Present