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  • šŸ‘‹ Hi, Iā€™m Motunrayo Ibiyo
  • šŸ‘€ I enjoy programming and love implementing solutions that automate processes.
  • šŸŒ± I am currently working on several research projects that exploit machine learning algorithms to automate processes.
  • šŸ’žļø I have a strong background in data engineering, machine learning, and service management.
  • šŸ“« You can reach me via email at [email protected]
  • You can also reach out to me on LinkedIn https://www.linkedin.com/in/motunrayo-ibiyo/

Motunrayo Ibiyo's Projects

bike-sharing-demand icon bike-sharing-demand

Bike sharing systems are a means of renting bicycles where the process of obtaining membership, rental, and bike return is automated via a network of kiosk locations throughout a city. Using these systems, people are able rent a bike from a one location and return it to a different place on an as-needed basis. Currently, there are over 500 bike-sharing programs around the world. The data generated by these systems makes them attractive for researchers because the duration of travel, departure location, arrival location, and time elapsed is explicitly recorded. Bike sharing systems therefore function as a sensor network, which can be used for studying mobility in a city. In this competition, participants are asked to combine historical usage patterns with weather data in order to forecast bike rental demand in the Capital Bikeshare program in Washington, D.C.

datacentric-ai icon datacentric-ai

This repository includes scripts that were used to compare voxel51 and cleanlab

ediss-mp icon ediss-mp

This is a repository for the codes written in fulfillment of my masters program

finding_donors icon finding_donors

This is a machine learning model that predicts if a person will earn above $50,000 per year, The model will assists charity organization to decide who to target for contribution,

shecodeafrica icon shecodeafrica

These are solutions to the weekly challenges of SheCodesAfrica mentee 2020

sparkify_data_engineering-_project icon sparkify_data_engineering-_project

This project aims to design an OLAP database that can be used by the Sparkify data analytics team to understand the users that use their app for music streaming. The database that will be created by the project consist four dimensional tables and a fact table.

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