Hi, I'm Aboderin Okikiola

ML/AI Engineer

Building practical AI systems that solve real-world problems with data

About Me

Get to know the person behind the code

I am a Machine Learning enthusiast focused on building real-world AI systems from scratch. I enjoy working across the full pipeline from data cleaning and feature engineering to training models and deploying them into usable applications.

My recent work includes projects in predictive analytics and intelligent decision systems, such as irrigation optimization and customer churn prediction. I focus on making models not just accurate, but actually useful in real scenarios.

Currently, I am exploring deeper areas of machine learning and working towards building more advanced AI systems, with a long-term goal of creating end-to-end intelligent applications that combine data, models, and user interaction.

                            
                        
Built and deployed multiple machine learning projects (e.g., customer churn prediction, irrigation optimization)

Developed end-to-end ML pipelines from data preprocessing to model evaluation

                            
                        
Actively learning and applying machine learning through real-world projects and experimentation

Quick Info

Name: Aboderin Okikiola

Role: ML/AI Engineer

Location: Abeokuta Ogun, Nigeria

Email: aboderinokiki6@gmail.com

Projects: 6

Skills & Expertise

Technologies and tools I work with

Programming Languages

Python SQL R JavaScript

ML/AI Frameworks

TensorFlow PyTorch Scikit-learn Keras XGBoost OpenCV

Tools & Platforms

Docker Git Jupyter MLflow FastAPI Streamlit

Cloud Platforms

AWS GCP Azure Heroku

Featured Projects

Explore my machine learning and AI projects

Customer Churn Prediction System

A machine learning system that predicts whether a customer is likely to leave a telecom service based on their demographics, account details, and subscribed services.

Python Flask Scikit-learn

Try It Live

Smart Irrigation Prediction System

A machine learning system that predicts optimal irrigation needs based on environmental and soil conditions, helping improve water efficiency in agriculture.

Python Flask Scikit-learn

Try It Live

Crop Pest Detection System

An AI-powered system that detects and classifies crop pests from images, helping farmers identify infestations early and take timely action.

Python Flask TensorFlow

Try It Live

RAG

Portfolio Assistant

Ask me anything about this portfolio, my skills, projects, or experience. I can help you navigate and learn more about what I do.

Try It Live

Sentira AI

A multilingual AI-powered sentiment analysis system that detects emotional tone from product reviews, social media posts, and user feedback. The model translates supported languages into English before performing sentiment classification.

NLP Sentiment Analysis Machine Learning

Try It Live

Smart Agriculture AI System

An integrated machine learning system that combines irrigation prediction and pest classification to support smarter farming decisions using both environmental data and plant images.

Python Flask Scikit-learn

Try It Live

View All Projects (6)