AI Engineer with 10+ years in Data Science & Machine Learning
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Assessing your cultural and operational fit
Data analyst and machine learning practitioner with a strong background in mathematics and applied analytics. Experienced in Python, SQL, and data visualization tools for transforming complex datasets into actionable insights. Skilled in exploratory data analysis, predictive modeling, and building data dashboards. Passionate about applying AI and machine learning to real-world problems across healthcare, market analytics, and operational data systems.
Sail Innovation
Training · Machine Learning & AI
January 1, 2023 – January 1, 2023
Obafemi Awolowo University – Ile-Ife
B.Sc. · Mathematics
January 1, 2015 – January 1, 2019
The Polytechnic Ibadan
OND · Computer Science
January 1, 2011 – January 1, 2013
BookflightAcademy
IT Instructor (Python & Data Foundations)
September 1, 2024 – Present
Lagos Island, Lagos State, Nigeria
Independent / Academic / Project-Based
Data Analyst (Applied & Teaching-Focused Experience)
January 1, 2023 – Present
India
Brainiac-Corona School
STEM & Robotics Instructor
January 1, 2023 – August 1, 2024
Kosofe, Lagos State, Nigeria
Goodluck Comprehensive School
Mathematics & IT Tutor
January 1, 2010 – March 1, 2015
Somolu, Lagos State, Nigeria
GDP Machine Learning Dashboard
January 1, 2023 – June 1, 2026
• Built an interactive dashboard to analyze global GDP trends. • Implemented machine learning models to predict GDP growth. • Integrated a MySQL database for structured data storage and querying. • Developed a Streamlit interface for data exploration and visualization.
Netflix Data Analysis Project
January 1, 2023 – June 1, 2026
• Performed exploratory data analysis on the Netflix content dataset. • Analyzed content trends, release patterns, and genre distributions. • Produced visual insights on global streaming content trends.
Sentiment Analysis Project
January 1, 2023 – June 1, 2026
• Built a text classification model to analyze customer sentiment. • Applied natural language processing techniques for text preprocessing. • Implemented machine learning algorithms to classify reviews as positive or negative.
SQL Data Cleaning & Transformation Project
January 1, 2023 – June 1, 2026
• Cleaned messy datasets using advanced SQL queries. • Performed data validation and transformation for analytical use. • Created optimized queries for improved data retrieval performance.
Customer Churn Prediction Model
January 1, 2023 – June 1, 2026
• Developed a classification model to predict customer churn risk. • Performed feature engineering and model evaluation. • Used data visualization to communicate churn drivers and insights.
Sales Analytics Dashboard
January 1, 2023 – June 1, 2026
• Built an interactive dashboard to analyze revenue trends and performance. • Created data models and visual reports for decision-making.
Accident Control Prediction Model
January 1, 2023 – June 1, 2026
• Developed a machine learning model predicting road accident risks. • Applied feature engineering and predictive analytics.
Diabetes Prediction Model
January 1, 2023 – June 1, 2026
• Built predictive ML model using healthcare datasets. • Performed data preprocessing and evaluation.
HER - Female Health AI Chatbot
January 1, 2023 – June 1, 2026
• Developed LLM-based conversational system focused on female health. • Implemented prompt design and response validation.
Chest X-ray CTR Measurement System
January 1, 2023 – June 1, 2026
• Applied computer vision techniques using OpenCV for medical image analysis.
Meritorious Mention – SCUDEM Mathematical Modeling Competition
Unknown
January 1, 2020 – Present
Silver Medalist – National Mathematics Contest for University Students
Unknown
January 1, 2019 – Present
First Position – NAMSSN IQ Challenge
Unknown
January 1, 2018 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including healthcare, market analytics, and operational data systems, shows a broad interest in applying AI/ML across various domains. Their teaching roles indicate a willingness to share knowledge and contribute to team growth. The focus on practical, project-based learning aligns well with an innovative and results-oriented culture. However, the projects are primarily personal/academic, and more experience in collaborative, production-level AI engineering environments would strengthen cultural fit for a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and a passion for applying AI/ML to real-world problems. Their extensive teaching experience suggests strong communication, documentation, and client interaction skills, which are valuable for operational roles. The ability to collaborate across international and remote teams indicates good adaptability and teamwork potential.