MICHAEL ENE OBUMA

AI/ML Data Engineer · Electrical Engineer · COREN Licensed
Nigeria, NG.

Results‑driven professional with a passion for solving problems and creating meaningful impact. My journey has been defined by curiosity, resilience, and a commitment to excellence. I thrive in dynamic environments where innovation and collaboration drive success, and I bring a unique blend of analytical thinking, creativity, and leadership to every project. Whether working independently or as part of a team, I focus on delivering measurable outcomes that make a difference.

COREN-Licensed Electrical Engineer and Master's candidate in Automatic Control Systems, Michael Ene Obuma combines deep engineering rigor with expertise in AI, data analytics, and supply chain automation. He specializes in deploying real-time monitoring infrastructure, building ML-powered forecasting pipelines, and translating complex operational data into measurable business outcomes. Globally mobile and culturally adaptable, he is motivated to grow as a future supply chain leader within a world-class organization, leveraging proficiency across Python, MATLAB/Simulink, Power BI, SQL, and multi-cloud platforms (AWS, Azure, GCP).

Work

3MTT NITDA Nigeria
|

Data Science & Software Intern

Nigeria

Summary

Developed and deployed data-driven solutions to enhance logistics and operations, providing actionable KPI visibility and supporting strategic decision-making.

Highlights

Built end-to-end Power BI dashboards, surfacing critical logistics KPIs and enabling data-driven operational decisions.

Executed Python data science projects, encompassing data cleaning, modeling, and visualization for improved insights.

Delivered comprehensive dashboards that precisely supported supply chain analytics capabilities for planning and distribution.

Transformed fragmented, unstructured data into actionable intelligence, significantly improving KPI visibility for logistics teams.

Codveda Technologies
|

Machine Learning Intern

Summary

Ensured the robust integration of ML models into production systems by validating performance against real-world constraints and resolving pipeline anomalies.

Highlights

Validated ML models against real-world operational constraints, ensuring optimal performance and reliability in production.

Diagnosed and resolved complex pipeline anomalies, maintaining data integrity and system stability.

Contributed to the seamless integration of machine learning solutions, enhancing overall system robustness.

SaiKet Systems
|

Front-End Development Intern

Summary

Developed responsive web interfaces, aligning with UX specifications to enhance user adoption rates across IT applications.

Highlights

Developed responsive web interfaces that precisely aligned with UX specifications, enhancing user experience and accessibility.

Improved end-user adoption rates across various IT applications through intuitive and visually appealing designs.

Collaborated with design and back-end teams to ensure seamless integration and functionality of web interfaces.

University of Nigeria, Nsukka
|

Research Engineer & IT Support Lead

Nsukka, Enugu, Nigeria

Summary

Led critical IT infrastructure management and enhancement initiatives, ensuring robust real-time visibility and operational excellence for postgraduate research.

Highlights

Administered Windows and Linux servers, ensuring continuous availability for high-impact research activities.

Engineered a Raspberry Pi-based real-time monitoring system with AI-driven adaptive control, achieving near-zero system downtime.

Automated Python reporting pipelines, reducing manual reporting overhead by 60% and enhancing data accuracy.

Hardened cybersecurity posture enterprise-wide, safeguarding critical research data and infrastructure.

SpringFire Technologies Ltd
|

Junior Developer & AI Systems Engineer

Summary

Optimized production ML models and enhanced deployment security, contributing to robust and reliable client-facing AI solutions.

Highlights

Systematically debugged and hyperparameter-tuned ML pipelines, improving model accuracy by 80% and mitigating reliability risks.

Implemented robust cybersecurity controls, elevating deployment security posture across client-facing applications.

Authored structured IT governance documentation, establishing team-wide standards that accelerated onboarding for new engineers.

Contributed to the development and integration of AI systems, ensuring high performance and scalability.

Education

University of Nigeria, Nsukka
Nsukka, Enugu, Nigeria

M.Eng.

Electrical Engineering (Automatic Control Systems)

Courses

Thesis: Real-Time Control of Power System Stability Using Edge Computing & AI Techniques - directly applicable to intelligent supply chain monitoring and process control at industrial scale.

Michael Okpara University of Agriculture, Umudike
Umudike, Abia, Nigeria

B.Eng.

Electrical / Electronic Engineering

Grade: Second Class (2:2)

Courses

Completed mandatory NYSC Youth Service Programme (2022).

Languages

English

Certificates

MIT Certification: Introduction to Universal AI

Issued By

MIT

AWS Certified AI Practitioner

Issued By

AWS

AWS Generative AI for Decision Makers

Issued By

AWS

NITDA 3MTT Data Science Certification

Issued By

NITDA

Google Developer Groups - Build with AI: Night of Innovation

Issued By

Google Developer Groups

Ethics in the Age of Generative AI
Microsoft AI Enthusiast Certifications

Issued By

Microsoft

COREN Engineering Practicing License

Issued By

COREN

Microsoft Certified: Azure AI Fundamentals

Issued By

Microsoft

Soft Skills Training - Jobberman Nigeria

Issued By

Jobberman Nigeria

HSE Competence Development Level 3 - ISPON

Issued By

ISPON

Skills

Supply Chain & Operations

Real-time monitoring, Process optimisation, Demand forecasting, Logistics analytics, Automation workflows.

Data Analytics & Reporting

Power BI dashboards, SQL, Python (Pandas, NumPy, Scikit-Learn), Advanced Excel, KPI frameworks.

AI & Machine Learning

ML model development & validation, Hyperparameter tuning, AI-driven adaptive control, Predictive modelling.

Cloud & Infrastructure

AWS (AI Practitioner Certified), Microsoft Azure (AI Fundamentals), Google Cloud AI, Edge computing, IoT.

Engineering & Automation

MATLAB/Simulink, Raspberry Pi, Arduino, Industrial automation, Embedded systems, Control theory.

Dev Tools & Programming

Python, C#, Node.js, React, Docker, Git, Linux/Windows server administration.

Leadership & Project Mgmt

Cross-functional collaboration, Stakeholder engagement, Change management, IT governance, Agile delivery.

Communication

Technical documentation, Executive reporting, Structured presentations.