Auwal A.

Key Skills

Software

Other

Top Subject Matter

Academic IT support and data management

Assessment/CBT system operations and assessment data handling

Recruitment aptitude test system operations and evaluation data capture

Top Data Types

Text

Computer Code Programming

Top Task Types

Data Collection

Prompt + Response Writing (SFT)

Fine-tuning

Freelancer Overview

SIWES Intern / IT Specialist — Academic consulting and IT services (data management support). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Kano University of Science and Technology (2025) and Senior Secondary School Certificate, Governor's College, Kano State. AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Data Collection, Evaluation, and Rating.

Labeling Experience

Large-Scale Recruitment System Support — CTO oversight for high-stakes aptitude testing

Text

Acted as CTO overseeing a large-scale recruitment aptitude testing system with 24,000+ examinees. The role required technical leadership for system deployment and operations that support collection of assessment responses for downstream evaluation. Although not framed as labeling, the work directly enabled structured assessment data capture and evaluation workflows. • Led technical direction for deployment and operations of aptitude testing systems. • Managed system responsibilities for a high-stakes teacher/staff recruitment process. • Oversaw handling of assessment data for 24,000+ examinees. • Provided strategic and operational oversight for reliable system execution.

2026 - 2026

Data Analytics Essentials — Cisco Networking Academy

OtherText

Earned a Data Analytics Essentials credential through Cisco Networking Academy. Training emphasized data analytics processes including data transformation, statistical analysis, and hands-on work with common analytics tools. This represents structured data/AI training that supports later labeling or data preparation tasks. • Learned data analytics workflows and data transformation concepts. • Practiced statistical analysis techniques. • Used analytics tools such as Excel, SQL, and Tableau. • Completed a project portfolio evaluation to demonstrate applied skills.

2025 - 2025

Career Essentials in Generative AI — Microsoft & LinkedIn Learning

OtherTextFine-tuning

Completed a short Generative AI training course focused on practical understanding of generative AI technologies. The program covered AI applications and machine learning fundamentals with emphasis on implementing AI solutions in professional settings. This is AI training experience relevant to AI solution development. • Studied generative AI technologies and core concepts. • Covered machine learning fundamentals for AI application building. • Practiced translating AI concepts into implementation-oriented understanding. • Gained exposure to deploying AI solutions in professional workflows.

2025 - 2025

Data Analysis Bootcamp — Idealnovate Data School

OtherText

Completed a data analysis bootcamp covering Excel, Power BI, and SQL with a focus on practical data manipulation and visualization. The course included hands-on analytics work using industry-standard tooling and collaboration during a comprehensive training program. This experience supports preparation and analysis steps that often precede data labeling. • Practiced data manipulation, analysis, and visualization. • Used tools including Excel, Power BI, and SQL. • Completed applied learning tasks aligned to analytics workflows. • Collaborated during the bootcamp training program.

2024 - 2024

Responsible Data Management (2 Courses) — NDPC & data.org

OtherData Collection

Completed two courses on Responsible Data Management focused on governance, privacy, ethics, and responsible handling of data. The training supports building compliant data pipelines that are essential for preparing data for AI and analytics tasks. While not labeling-focused, it directly improves responsible data practices used in AI data workflows. • Learned data governance and privacy concepts. • Covered ethics and best practices for responsible data handling. • Studied change management for implementing responsible data practices. • Built knowledge aligned to responsible data processing and governance.

2024 - 2024

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Education

Work History