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Chukwudi Aboaja

Chukwudi Aboaja

Data Scientist – Platform Intelligence & Churn Modeling

NORWAY flag
Stavanger, Norway
$40.00/hrIntermediateAws SagemakerTagtog

Key Skills

Software

AWS SageMakerAWS SageMaker
TagtogTagtog

Top Subject Matter

Energy & Sustainability Subject Matter
Data & Analytics / Tech Subject Matter
Business & Finance

Top Data Types

TextText
DocumentDocument

Top Task Types

Segmentation

Freelancer Overview

Data Scientist – Platform Intelligence & Churn Modeling. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Master of Science, University of Stavanger (2021) and Bachelor of Science, Babcock University (2015). AI-training focus includes labeling workflows including Segmentation.

IntermediateNorwegianEnglish

Labeling Experience

Data Scientist – Platform Intelligence & Churn Modeling

Segmentation
As a data scientist focused on platform intelligence and churn modeling, I designed, deployed, and evaluated predictive analytics to support product retention and commercial decisions. I implemented behavioral segmentation, A/B testing frameworks, and data-driven recommendations. Working cross-functionally, I translated complex findings into actions for improvement and growth. • Developed a churn prediction model using gradient boosting with 82% precision, reducing customer attrition by 12%. • Conducted behavioral segmentation on over 2 million user interactions, identifying distinct user personas for targeted interventions. • Built testing frameworks to validate retention campaigns, reducing failure rates and increasing decision speed. • Collaborated with teams to translate statistical insights into commercial strategy and recommendations.

As a data scientist focused on platform intelligence and churn modeling, I designed, deployed, and evaluated predictive analytics to support product retention and commercial decisions. I implemented behavioral segmentation, A/B testing frameworks, and data-driven recommendations. Working cross-functionally, I translated complex findings into actions for improvement and growth. • Developed a churn prediction model using gradient boosting with 82% precision, reducing customer attrition by 12%. • Conducted behavioral segmentation on over 2 million user interactions, identifying distinct user personas for targeted interventions. • Built testing frameworks to validate retention campaigns, reducing failure rates and increasing decision speed. • Collaborated with teams to translate statistical insights into commercial strategy and recommendations.

2022 - 2023

Education

U

University of Stavanger

Master of Science, Data Science

Master of Science
2018 - 2021
B

Babcock University

Bachelor of Science, Computer Technology

Bachelor of Science
2011 - 2015

Work History

E

Equinor ASA

Data Analyst – Operational Intelligence

Stavanger
2023 - Present
E

Equinor ASA

Data Scientist – Platform Intelligence & Churn Modeling

Stavanger
2022 - 2023