AI-based Pipeline Integrity Monitoring System
Summary
Conceptualized and outlined an AI-powered system designed to monitor pipeline integrity, aiming to enhance safety and prevent failures.
Highly analytical professional with 5+ years of experience in project management and operational analytics, strategically transitioning into AI/ML and Data Science. Proven ability to leverage Python, data analysis, and machine learning for predictive modeling and recommendation systems, translating complex business challenges into data-driven solutions. Combines strong analytical acumen with practical execution to drive informed decision-making and enhance system performance.
IT Specialist / Project Coordinator (Remote – Part Time)
Abuja, FCT, Nigeria
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Summary
Designed and implemented data-driven dashboards and streamlined task management to optimize workflow performance and reporting.
Highlights
Developed comprehensive dashboards and reports, enabling real-time tracking of workflow performance and key response metrics.
Optimized task management processes, resulting in improved turnaround efficiency and project delivery timelines.
Managed and supported data handling processes, ensuring accurate and structured reporting for continuous monitoring and analysis.
IT Specialist Intern (NYSC)
Abuja, FCT, Nigeria
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Summary
Provided essential technical and operational support to ensure seamless system workflows and maintain high system reliability.
Highlights
Delivered critical technical and operational support, maintaining uninterrupted system workflows and ensuring high availability for key services.
Diagnosed and resolved performance bottlenecks, enhancing overall system reliability and operational efficiency.
Contributed to structuring digital processes, improving operational efficiency and ensuring data consistency across platforms.
Project Manager (Remote – Full Time)
Abuja, FCT, Nigeria
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Summary
Led the development of data-driven tracking systems and optimized operational workflows, contributing to significant business growth.
Highlights
Analyzed key performance indicators (KPIs) and identified critical operational trends, directly informing and supporting strategic business decisions.
Streamlined and optimized operational workflows, directly contributing to a notable 20% cumulative business growth over tenure.
Established structured reporting frameworks, enabling data-driven performance evaluation and fostering continuous improvement initiatives.
Machine Learning Intern
Kashere, Gombe, Nigeria
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Internship
Summary
Developed and tested machine learning models for predictive analysis using Python Compared alternative modelling approaches to determine the most effective solutions
Computer Networking Intern
Kashere, Gombe, Nigeria
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Internship
Summary
Assisted in network configuration, system maintenance, and troubleshooting Worked under supervision to maintain network infrastructure and operational continuity
Junior Project Manager (Remote – Full Time)
Abuja, FCT, Nigeria
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Summary
Supported critical data collection, analysis, and process optimization efforts to enhance operational performance and efficiency.
Highlights
Assisted in comprehensive data collection, analysis, and reporting activities to monitor and improve operational performance.
Contributed to process optimization initiatives by implementing structured tracking and enhancing cross-functional coordination.
Identified operational inefficiencies through data-backed insights, supporting management in strategic improvement planning.
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B.Sc.
Computer Science
Grade: First Class Honours (CGPA: 4.69/5.00)
Native
Conversational
Issued By
Issued By
IBM
Issued By
SAP
Machine Learning & Predictive Modeling, Data Analysis & Statistical Thinking, Data Cleaning, Transformation & Feature Engineering, Model Evaluation & Performance Optimization, Process Automation & Workflow Optimization, KPI Analysis & Business Intelligence, Structured Problem Solving, Cross-Functional Collaboration.
Python (Pandas, NumPy, Scikit-Learn), SQL (MySQL, SQLite).
Supervised Learning (Regression, Classification), Recommendation Systems (Collaborative Filtering, KNN), Model Evaluation & Validation.
Microsoft Excel (Advanced), Power BI, Data Cleaning & EDA.
Jupyter Notebook, Google Colab, GitHub, Docker, CLI, Asana, Trello, Notion.
Summary
Conceptualized and outlined an AI-powered system designed to monitor pipeline integrity, aiming to enhance safety and prevent failures.
Summary
Developed a framework for a system focused on monitoring radiation levels, ensuring safety compliance and data collection for analysis.
Summary
Explored and applied advanced machine learning techniques, specifically a hybridized LU-CNN model, for steganalysis to detect hidden information.
Summary
Developed and evaluated regression models to predict housing prices using a structured dataset from King County.
Summary
Designed and developed a collaborative filtering-based book recommendation system leveraging K-Nearest Neighbors (KNN) algorithms.
Summary
Developed a sophisticated deep learning model combining LSTM and CNN architectures for advanced time-series stock price prediction.
Summary
Performed comprehensive exploratory data analysis on income datasets to uncover demographic trends and patterns.
Summary
Designed the workflow structure for a collaborative financial interaction platform, applying logical and data-driven design principles.
Awarded By
Nigerian Society of Data Analysts and Business Intelligence Experts
Volunteer