Olatunji Azeez
Data Scientist with over 3 years of commercial experience in analytics, strategy, and technical support. Holds a master’s degree in Big Data Science and Technology and extensive experience in machine learning, data visualization, and software development.
Ranked Top 5% of Postgraduate cohort at University of Bradford
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Portfolio
Highlighted projects in data science, machine learning, and natural language processing (NLP)
Tumour Detection and Segmentation in MRI Scans the gut Area
In this notebook, A custom encoder decoder neural network architecture is trained on the UW Madison dataset on tumour, to detect and map out tumour regions in MRI scans.
Gravitational Wave Analysis and Detection — In this implementation, an implementation is made on the analysis and detection of gravitational waves using spectrogram representation of the samples in the G2NET dataset. The spectrogram of the wave signals are computed with the Constant Q Transform algorthim offered by nnAudio module.
Hourly/Minutes Bitcoin Prediction — In this project, two neural network models utilizing the LSTM algorithm both for regression and classification analysis on daily stock data were developed.
The purpose of this project is to formulate two neural network models that utilize the LSTM (Long Short Term Memory) algorithm one of the variants of Recurrent Neural Network Algorithm for predicting the closing price value of BTC for the next day and for predicting the probability of rise or fall of a BTC for the next day respectively.
