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.
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
|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
Courses
Developed quantitative analysis, research, and data interpretation skills through coursework and project-based learning.
Awards
La Plage Metaverse Excellence Award
Awarded By
La Plage Metaverse
Recognized for excellence in the metaverse domain.
ALX Excellence Award
Awarded By
ALX
Awarded for outstanding performance and excellence.
Languages
English
Certificates
Applied Machine Learning, Azure ML, SQL, Deep Learning
Issued By
Data Science Nigeria (DSN)
AI/ML Pipeline Development, Transfer Learning, Computer Vision
Issued By
DeepTech Ready Program
Python, Data Analysis, Cloud AI Fundamentals, Workflow Automation
Issued By
3MTT AI/ML
Identity, Security, Azure Active Directory
Issued By
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 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.