I am a Data Scientist who builds awesome stuff, with a wide experience in product analytics, recommendation system, location analytics, retail analytics, machine and deep learning using mind-blowing technologies.
I am also an open-source contributor and in my free time, I write on Data Science and make open contributions on GitHub .
I am an active member of various data science communities, where I focus on making impacts and sharing my experiences whilst learning.
Being a Data Scientist, I create analysis that helps stakeholders makes business decisions, perform A/B testing on products, build recommendation system to personalize user's experience, price optimization, retail and location analytics at scale using different techniques including machine and deep learning. On the other hand, I participate in data science communities, which has given me the platform to share complementary ideas with my peers and accelerate the process of crafting better solutions without being distracted by the buzz, glitz and opportunities that seem to exist.
When I'm not in front of a computer screen, I'm probably talking at a Akure R Users meetup, watching football as Chelsea fan, giving free therapy to a friend or hanging out with myself/friends.
Here are a few of the tools & technologies that I have experience with:
Nigeria Data is an open source R package for Nigeria Spatial and Non-spatial data, the package is built upon eHealth Africa GRID data funded by Bill and Melinda Gates foundation. This package makes the data available for R user all over the world in R studio.
An API that predict price of Airbnb in a particular location. This can help new Airbnb host to set price for their apartments.
Machine learning powered demand prediction API using Bike demamd as a case study
A model that predicts customer behaviour on e-commerce platform
A model that detect trends of Google Stock Price using Recurrent Neural Network
A model that predict loan defaulters with probability using support vector machine