Olayele A.

Key Skills

Software

Other

Top Subject Matter

Data engineering

ETL/ELT preparation

analytics workflows

Top Data Types

Text

Document

Image

Top Task Types

Data Collection

Classification

Computer Programming/Coding

Prompt + Response Writing (SFT)

Freelancer Overview

Data Science & Analytics Instructor (AI/data training-oriented curriculum) at SQI College of ICT. Brings 7+ 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, Federal University, Oye-Ekiti (2026) and Higher National Diploma, Rufus Giwa Polytechnic, Owo (2018). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Data Collection.

Labeling Experience

Data Science & Analytics Instructor (AI/data training-oriented curriculum) at SQI College of ICT

Don't discloseTextData Collection

Planned and delivered a hands-on data engineering curriculum for learners, including supervised pipeline design and production delivery activities. Instructed students on transforming and preparing datasets for downstream analytics and dashboarding use cases. Guided learners through building and validating workflow automation patterns that support repeatable data processing. • Covered Python and SQL basics for dataset preparation • Taught ETL pipeline design, data modeling, and data transformation • Supervised HR attrition, financial forecasting, and e-commerce analytics projects • Produced governance runbooks and documentation for independent student operation

2023 - 2024

Research & Data Officer (part-time) at PIDI-Nigeria

OtherData Collection

Collected, transformed, and analyzed structured and unstructured field data from national programs to support policy reporting and evidence-based decisions. Mapped end-to-end operational data flows and identified bottlenecks in manual field processing. Implemented no-code automation to reduce manual handling effort and improve data consistency. • Ensured accuracy and consistency for government policy reporting datasets • Performed data transformation and analysis across multiple data types • Reduced manual processing time by 30% and improved data entry quality • Documented operational workflows and implemented automation for field teams

2020 - 2022

Education

Work History