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D
Dako F.

Dako F.

AI trainer

Nigeria flagAbuja, Nigeria

Key Skills

Software

Other

Top Subject Matter

Financial transaction fraud detection (machine learning)
Wearable e-health monitoring (IoT) for pregnant women — data collection
Data entry

Top Data Types

Computer Code ProgrammingComputer Code Programming

Top Task Types

Question AnsweringQuestion Answering
Computer Programming/CodingComputer Programming/Coding

Freelancer Overview

I am a Computer Engineering professional with a strong foundation in Data Analysis, Machine Learning, and data collection workflows. While I am new to formal data annotation, I have hands on experience managing raw data pipelines specifically developing data collection workflows for hardware integration and analyzing complex transaction datasets for predictive modeling. My background has given me a deep understanding of data integrity, structured formats, and pattern analysis. I am highly detail oriented and eager to apply my technical analytical skills to high-quality data labeling and AI training workflows.

Labeling Experience

Intelligent Multilingual Wearable E-Health Monitoring System For Pregnant Women — Arduino/hardware integration and data collection workflow development

Other

You developed an intelligent multilingual wearable e-health monitoring system by focusing on hardware integration and data collection workflows. Your responsibilities included Arduino programming and configuring electronic components to ensure reliable communication between hardware and incoming data streams. You supported real-time monitoring functionality by designing data collection processes for multilingual capabilities. • Arduino programming for sensor/data stream communication • Configuration of hardware components for data collection • Building data collection workflows for real-time monitoring • Supporting multilingual data capture and system readiness

2024 - 2025

Credit Card Fraud Detection System (Machine Learning) — Group lead for transaction pattern analysis and detection model improvement

Other

You led and executed a machine-learning project to detect credit card fraud by analyzing transactional data patterns. The work involved using Python and ML libraries to prepare and analyze datasets, supporting model development and performance improvement for fraud detection. Your contributions emphasized collaborative milestone tracking and project workflow management. • Data cleaning and exploratory analysis on transaction datasets • Feature/pattern analysis using Python ML tooling • Iterative improvements to increase detection accuracy • Team leadership and milestone coordination

2024 - 2025

Education

F

Federal University of Technology, Minna (FUTMINNA)

Bachelor of Engineering, Computer Engineering

Bachelor of Engineering
2019 - 2025
E

ECWA Staff School

Senior Secondary School Certificate, N/A

Senior Secondary School Certificate
2012 - 2018

Work History

S

Sheda Science and Technology Complex

Data Analyst Intern

Kwali/ Abuja
2024 - 2024