Oluwasegun Odusina's is a data scientist/machine learning engineer. He possesses expertise in leading cross-functional teams in building machine learning and AI solutions across various industries like business, agriculture, and art. He's a cloud enthusiast, building his skillset and certification in AWS, alongside participating in open-source training and projects in collaboration with the Cloud Native Computing Foundation (CNCF). He aims to provide solutions that address critical organizational needs, unveiling invaluable business insights through comprehensive data analysis, and constructing sophisticated recommendation systems or predictive models.
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💬 Ask me about Data AI/ML and Data Engineering
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📫 How to reach me [email protected]
- Supervised Machine Learning
- Unsupervised Machine Learning
- Computer Vision Deep Learning
- Deep Learning
- Team Project
- Model & Deployment
- Regression Models Linear, Ridge Regression, Random Forest Regressor and the XGBRegressor models to predict the housing price based on certain factors.
- Linear Regression Linear Regression model to predict the housing price based on certain factors.
- RandomForestRegressor model RandomForestRegressor model to predict the housing price of Melbourne.
- Classification models Classification Model Comparison with Red Wine Dataset using Random Forest Classifier, Support Vector Machines (SVMs), KNeighborsClassifier(KNN), Decision Tree Classifier, Naive Bayes.
- Email Classification model Classify email coming in to be either spam or not spam.
- KNeighborsClassification model Predicting heart disease with KNN GridSearchCV Hyperparameter.
- Face Recognition model Image CLassification with VGG16 transfer learning from keras on Pinterest celebrities image dataset by Kaggle.
- Emotion Detection model Emotion Dection With FER 2013 dataset from Kaggle.
- Alexnet_Architecture Alexnet architecture with on intel_images from kaggle.
- Object Detection model Object detection with YOLO V6 on tortoise and dolphin dataset from kaggle.
- Facial Features Detecion model Facial features detecion using dlib with the shape_predictor_68_face_landmarks.dat pre-trained model.
- CNN And SVM model Classification Dog & Cat Classification With CNN And SVM model Used Case
- MNIST Digit Classification MNIST Digit Classification With Neural Network.
- Business Review Sentimental Analyser Sentimental analysis model and deployment(with fast API) using an NLP BERT pre-trained model to review customers comments or feedback on the rating of 1 to 5.
- Crop Prediction and Crop Recommendation Crop recommendation system to help predict the type of crop to plant.
- Contract Review Artificial intelligence to streamline the contract review process. It identifies key phrases, clauses, rights, and obligations of an individual or company signing it and assessing the associated impact helping lawyers spot potential problems and make the review process more efficient.
- WazobiaApp With LangChain & Streamlit or WazobiaApp With LangChain & FastApi Wazobia (The Nigerian Translator) is a web application that can translate English to any of the three most popular Nigerian languages (Hausa, Igbo, Yoruba). Wazobia is implemented with Langchain and with both Streamlit and Fastapi.