Michael Joseph

AI Operations | Data Engineering | Workflow Automation

Port Harcourt, NG.

About

Highly analytical AI Operations and Data Engineering professional with extensive experience in developing end-to-end machine learning pipelines, relational databases, and automating complex digital workflows. Proven ability to leverage Azure ML, SQL, and Deep Learning expertise to drive world-class AI operations and enhance customer experience. Combines strong technical execution with effective communication to deliver high-impact solutions and optimize operational efficiency.

Work

Dozzman Oil Nigeria Limited

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Customer Experience Manager

, , Nigeria

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Summary

Led multi-channel customer operations for an energy company, ensuring service quality and managing complex escalations.

Highlights

Led multi-channel customer operations across phone, email, and chat, managing complex escalations and maintaining high service quality standards.

Drove the adoption of Microsoft Azure and Google Workspace tools across the organization, documenting workflows and creating user guidance to accelerate team onboarding.

Collaborated cross-functionally to map, document, and improve operational processes, directly enhancing the analytical and process-oriented outsourced operations model.

Trained and onboarded new staff on digital collaboration platforms, fostering a culture of precision, accountability, and knowledge sharing.

Education

Federal University Otuoke

Otuoke, Bayelsa State, Nigeria
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B.Sc. Economics & Development Studies Grade:

Courses

Developed quantitative analysis, research, and data interpretation skills through coursework and project-based learning.

Awards

La Plage Metaverse Excellence Award

La Plage Metaverse

Recognized for excellence in the metaverse domain.

ALX Excellence Award

ALX

Awarded for outstanding performance and excellence.

Languages

English

Certificates

Applied Machine Learning, Azure ML, SQL, Deep Learning

Data Science Nigeria (DSN)

AI/ML Pipeline Development, Transfer Learning, Computer Vision

DeepTech Ready Program

Python, Data Analysis, Cloud AI Fundamentals, Workflow Automation

3MTT AI/ML

Identity, Security, Azure Active Directory

Microsoft Azure / Cloud Training

AI Augmented Professional Development (8-week program)

Virtual Assistant Program (8-week program)

Skills

AI & ML Operations

Azure Machine Learning Designer, pipeline authoring, compute/datastore management, model evaluation, endpoint publishing.

SQL & Data Engineering

MySQL, DDL, DML, stored procedures, views, partitioning, indexing, transactions, EXPLAIN analysis.

Deep Learning

Transfer learning, fine-tuning, TensorFlow/Keras, image classification, dataset pipeline optimization.

Data Visualisation

Power BI, Tableau, Python (Pandas, basic scripting).

Automation & No-Code

Zapier, Microsoft Power Automate, Google Workspace integrations, process mapping.

Cloud Platforms

Microsoft Azure (ML Studio, Blob Storage, IAM/RBAC, Resource Groups, Key Vault).

Professional Skills

Technical documentation, cross-functional communication, remote collaboration, process improvement.

Projects

Azure ML Regression Pipeline (House Price Prediction)

Summary

Developed and deployed an end-to-end machine learning pipeline in Azure ML Designer for house price prediction, comparing multiple regression algorithms.

Azure ML Breast Cancer Dataset Pipeline (Multi-Dataset Preprocessing)

Summary

Designed and published an Azure ML Designer pipeline for breast cancer dataset preprocessing, combining multiple CSV datasets.

SQL Data Engineering (ShopDB Transaction Management System)

Summary

Engineered a normalized relational database for ShopDB, focusing on robust transaction management and performance optimization.

SQL Customer Analytics (SalesDB Data Warehousing & Views)

Summary

Developed a sales data warehouse and implemented advanced SQL queries for customer analytics and reporting.

SQL Database Normalization (EmployeeDB)

Summary

Normalized a raw employee dataset from 1NF through 3NF, resolving data redundancy and ensuring data integrity.

Deep Learning (Venice Boat Classification)

Summary

Developed an image classification model in Google Colab to categorize Venice boat types using transfer learning from pretrained ResNet/EfficientNet backbones.