About
Production-focused Data Scientist and Machine Learning Engineer specializing in building and deploying scalable AI systems for real-world applications. Expertly designs end-to-end machine learning pipelines, develops production-ready REST APIs, and implements NLP and predictive modeling solutions. Adept at transforming raw data into intelligent systems using modern ML frameworks and tools, bridging the gap between experimentation and production to deliver reliable, maintainable, and scalable machine learning solutions.
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Work
Code Nation
AI & Data Science Instructor
Atiode Solar Company
IT Manager
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Education
Computer Science
Lighthouse Polytechnic (Now Lighthouse University)
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LanguagesEnglish
English
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Certificates
NLP - DeepTech_Ready
3MTT Initaitive
AI/ML
3MTT-NIGERIA
Google Cloud Fundamentals: Core Infrastructure
Google Cloud Skill Boost
Advanced Generative AI for Developers
Google Cloud
BCG Data Science Virtual Experience
Forage
Active Kaggle Competitor
Projects in Regression, Recommendation, and AI
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Projects
Bitcoin Price Forecasting System
Built a time-series forecasting system for analyzing and predicting Bitcoin price trends using statistical and machine learning techniques, demonstrating applied forecasting, statistical analysis, and real-world time-series modeling skills.
Blood Glucose Prediction Using Machine Learning
Developed a machine learning-based blood glucose prediction system using the BrisT1D dataset for time-series regression analysis, demonstrating healthcare-focused predictive analytics and real-world regression modeling.
Sentiment Analysis REST API
Developed a production-ready sentiment classification API for analyzing real-time text inputs, demonstrating the ability to move ML models from notebooks to deployable APIs.
ChurnGuard Customer Churn Prediction API
Developed an end-to-end machine learning system for predicting customer churn using classification algorithms and structured customer data, showcasing practical machine learning deployment and production-level API integration.
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