Open to opportunities

Kenneth Dadzie

@kennethdadzie

Message

Senior AI engineer delivering production-ready ML solutions that drive business impact.

Ghana

Message

What I'm looking for

I seek a role building production ML systems and analytics pipelines where I can collaborate cross-functionally to deliver measurable business impact and scale data-driven decision-making.

I am a Senior AI Engineer with over six years of experience designing and operationalizing machine learning models to inform product and business strategy.

I specialize in probabilistic forecasting, customer segmentation, and prescriptive analytics, and I have deployed production ML solutions on Azure, AWS, Databricks, and Lakehouse architectures.

I partner closely with product, engineering, and business teams to build reproducible end-to-end pipelines, manage model lifecycle and CI/CD, and translate complex analytics into plain-language insights.

My work has delivered measurable value through demand forecasting, segmentation-driven engagement, automated credit scoring, and NLP-driven self-service analytics interfaces using GPT and LangChain.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

S4D Consulting

Jan 2026 - Present (2 months)

Design and deploy probabilistic demand-forecasting and NLP-driven prescriptive analytics on Azure and Databricks, enabling decision-makers to query supply-chain datasets conversationally and improve planning accuracy for large-scale operations.

Databricks GPT NLP Lakehouse CI CD

Lead Analytics Engineer

S4D Consulting

Aug 2024 - Dec 2025 (1 year 4 months)

Architected and delivered production-grade data pipelines using AWS (S3, Glue, Redshift) and implemented data versioning and CI/CD to provide analytics-ready datasets and governed master data frameworks for enterprise reporting.

AWS S3 AWS Glue Amazon Redshift Data Pipelines Versioned Datasets CI CD Master Data Management Data Governance

Business Data Analyst

Petra Trust Company Limited

Mar 2021 - Feb 2022 (11 months)

Built and deployed an unsupervised customer segmentation model and operationalized outputs via Power BI, enabling targeted retention strategies and measurable customer engagement improvements.

Customer Segmentation Unsupervised Learning Power BI Stakeholder Management Python SQL

Data Analyst

Catalyst Learning Limited

Jan 2016 - Mar 2021 (5 years 2 months)

Developed ETL pipelines and Power BI dashboards and built a Python credit-scoring model that reduced manual loan risk assessments by 80%, standardizing analytics delivery across business units.