Barnabas O.

Key Skills

Software

CVAT

Data Annotation Tech

Labelbox

SuperAnnotate

Snorkel AI

Top Subject Matter

Client analytics

predictive modeling

and operational optimization

Top Data Types

Image

Video

Text

Top Task Types

Function Calling

Entity (NER) Classification

Prompt + Response Writing (SFT)

Bounding Box

Polygon

Segmentation

Classification

Text Summarization

Cuboid

Red Teaming

RLHF

Fine-tuning

Question Answering

Text Generation

Object Detection

Polyline

Point/Key Point

Transcription

Computer Programming/Coding

Evaluation/Rating

Data Collection

Freelancer Overview

Data Science, Analysis & ML Researcher (Remote) at Fiverr International (Feb 2019 – Apr 2024). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and AWS SageMaker. Education includes Master of Science, Riara University (2025) and Computer Vision Lab Program, WorldQuant University (2026). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Function Calling, Entity (NER) Classification, and Prompt + Response Writing (SFT).

Labeling Experience

Data Scientist & AI Automation Specialist at TechInsights Hub (Remote) (2024 – Present)

AWS SageMakerPrompt + Response Writing (SFT)

Designed and deployed AI agent workflows to identify and qualify positive leads for finance-sector clients, automating previously manual prospecting tasks. Built end-to-end agentic automation using Python and LangChain, integrating data ingestion, entity resolution, and intelligent decision logic over unstructured and structured client data. Developed and deployed classification, anomaly detection, and predictive scoring models via AWS with CI/CD and continuous performance monitoring. • Engineered agentic lead-scoring and qualification pipelines • Integrated ingestion, entity resolution, and decision logic in agent workflows • Developed ML models and deployed them using AWS (SageMaker, Lambda) • Built automated data pipelines and dashboards for real-time client insights

2024 - Present

Data Science & Machine Learning Consultant at FICUS Economics Ltd. (2023 – Dec 2025)

OtherEntity (NER) Classification

Developed machine learning models and forecasting approaches that generated actionable insights for international development and stakeholder groups. Led cross-platform data integration and data pipeline automation, combining, cleaning, and managing datasets to support analytics and resilience strategies. Applied statistical methods and predictive modeling to forecast productivity and conflict-driven risks. • Built ML models (e.g., Random Forest Regression and Time Series Analysis) • Automated data pipelines to support reporting and resource allocation • Performed dataset integration across remote, cross-border teams • Translated modeling outputs into recommendations for development-sector clients

2023 - 2025

Data Science, Analysis & ML Researcher (Remote) at Fiverr International (Feb 2019 – Apr 2024)

OtherFunction Calling

Built and deployed machine learning solutions for client datasets, including predictive modeling, classification, and forecasting, to enable operational optimization. Performed data preparation work with SQL and Python, designing automated analysis pipelines across multiple concurrent client engagements. The work included putting ML models into production to support real-time analytics and decision-support. • Executed complex SQL queries and Python scripts to analyze diverse datasets • Developed ML workflows for prediction and business insight extraction • Deployed models into production environments for ongoing use • Produced dashboards/visualizations to communicate results to stakeholders

2019 - 2024

Education

Work History