About
Highly motivated and results-oriented professional with a strong foundation in Data Science, Statistics, and Software Engineering. Proven ability to leverage AI/ML, data analysis, and full-stack development skills to drive impactful solutions, reduce inefficiencies, and enhance user engagement. Adept at leading projects, collaborating in team environments, and translating complex data into actionable insights. Eager to apply analytical prowess and technical expertise to challenging roles in data science and AI.
Work
Summary
Internship focused on developing a proximity-based waste management system to optimize collection processes.
Highlights
Led a 5-person team in collaboration with a mentor to develop a proximity-based waste management system, reducing waste collection inefficiencies by 25%.
Programmed Arduino sensors and implemented C++ logic for real-time bin monitoring and optimized scheduling.
Developed functional prototypes using Tinkercad, CNC machines, and 3D printing technologies.
Summary
Intensive training program focused on developing an AI-powered fitness platform.
Highlights
Spearheaded the development of HealthRec, an AI-powered fitness platform that translated health metrics into conversational insights, resulting in a 10% reduction in user churn and increased engagement.
Engineered the backend using Django, integrating the Google Fit API and processing user health data with Pandas and NumPy for personalized analytics.
Implemented OpenAI API integration to provide real-time, data-driven recommendations via a modular and dynamic React user interface.
Education
Bachelor of Science
Statistics
Courses
Statistical theory, probability distributions, inference, and regression modeling (linear, logistic, time series analysis)
Multivariate methods, Bayesian statistics, experimental design, and applications across public policy, economics, and health sciences
Statistical computing and data analysis using Python, R, SQL, and modern simulation techniques
Program
Data Science
Courses
Acquiring foundational skills in data cleaning, analysis, and visualization using Python libraries (NumPy, Pandas, SciPy, Matplotlib, Seaborn)
Exploring introductory machine learning techniques, including regression models, decision trees, and neural networks
Awards
School Management Scholarship
Awarded By
Homat Comprehensive College
Awarded for academic excellence at Homat Comprehensive College.
FATE Scholarship
Awarded By
Homat Comprehensive College
Recognized for outstanding potential and achievement through the FATE Scholarship.
1st Place - SAGE World Cup
Awarded By
SAGE (Students for the Advancement of Global Entrepreneurship)
Secured first place at the SAGE World Cup while representing Nigeria, competing against participants from over 15 countries.
Skills
Programming Languages
Python, C++, R, SQL.
Tools & Technologies
scikit-learn, NumPy, Pandas, Matplotlib, Seaborn, Tinkercad, Langchain, Django, React, Git, Arduino, CNC Machines, 3D Printing, Google Fit API, OpenAI API.
Data Science Concepts
Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering, Dimensionality Reduction), Data Wrangling, Object-Oriented Programming (OOP), Retrieval-Augmented Generation (RAG), Statistics, Bayesian Statistics, Experimental Design, Time Series Analysis, Regression Models, Decision Trees, Neural Networks.