Francis K.

Key Skills

Software

Appen

CloudFactory

Clickworker

Mindrift

Top Subject Matter

Technology – Software Development & Engineering

Data & Analytics – Data Engineering & Pipeline Development

E-commerce – Product Categorization & Customer Support

Top Data Types

Image

Document

Text

Top Task Types

Data Collection

Classification

Bounding Box

RLHF

Text Generation

Evaluation/Rating

Question Answering

Fine-tuning

Freelancer Overview

ALX Africa Data Engineering Bootcamp trainee (in progress): ETL processes, data pipeline development, SQL/Python, and da. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include N and A. Education includes Data Engineering Bootcamp, ALX Africa (2026) and Data Analytics Programme, ALX Africa (2026). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Data Collection and Classification.

Labeling Experience

ALX Africa Data Engineering Bootcamp trainee (in progress): ETL processes, data pipeline development, SQL/Python, and data modeling

Data Collection

Worked on AI/data engineering training activities in an ALX Africa Data Engineering Bootcamp focused on building ETL pipelines and data infrastructure. • Developed ETL processes and pipeline components using SQL and Python. • Applied data modeling and data management best practices on real-world datasets. • Built data pipeline development skills aligned to downstream analytics/AI use cases. • Conducted hands-on labs covering data flow design and pipeline reliability concepts.

2026 - 2026

ALX Africa Data Analytics Programme: SQL/Python, EDA, and data visualization on real-world datasets

Classification

Completed an ALX Africa Data Analytics programme emphasizing exploratory data analysis and data-driven decision-making using SQL and Python. • Performed exploratory data analysis workflows on real-world datasets. • Used SQL and Python (pandas/NumPy) for data preparation and analysis. • Applied data visualization to interpret dataset findings. • Conducted analysis designed to support downstream modeling and analytics/AI tasks.

2026

Education

Work History