Moses Olayinka Oyedele

Moses Olayinka Oyedele

Data Scientist

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5-8 yearsCalgary, AB, Canada

About Moses Olayinka Oyedele

I provide top-notch business intelligence solutions to organizations looking to increase productivity. I have experience in forecasting, machine learning, and advanced statistical techniques, and I have worked on several process optimization projects.

Data Scientist

Experience level

Senior-level5-8 yrs

Hourly rate

$30/hr

Open to

remotefull time contract

Skills

PythonSupervised LearningUnsupervised LearningStatistical and Mathematical skillsProblem-solvingDatabase systemsWorking with dataCloud ComputingCreating dashboards and reportsSQL databases

Education

Aston University

Data Analytics

Master's DegreeClass of 2023

University of Ilorin

Statistics

Master's DegreeClass of 2018

University of Ilorin

Statistics

Bachelor's DegreeClass of 2014

Experience

Graduate Research Assistant

Department of Statistics, University of Ilorin

full time contract11/2014 - 10/2016

Developed the framework for the implementation of digitized exams for first year statistics students.
Assisted senior lecturers in active research development which includes research design, research proposals, and data analysis using reliable statistical tools such as Microsoft Excel, SPSS, and R programming.
Served as the subject coordinator for an introductory probability and statistics course (STA 124).
Initiated and developed the course material, which involves the use of Microsoft Word and PowerPoint for the effective creation and delivery of lectures and seminars.
Conducted tutorials, practical classes, demonstrations, workshops, and studio sessions with a feedback assessment rating of 98%.

Data Scientist

Canadian Blood Services

full time contract9/2022 - 4/2023

Transformed raw data into actionable insights, providing executive stakeholders with insightful recommendations to streamline business operations and improve donor experience.
Utilized supervised machine learning to developed donor appointment attendance and cancellation prediction models to improve donor attendance and retention, resulting in a 20% increase in donor appointment attendance. Developed a machine learning model that uses geographic characteristics to estimate the active donor populations in potential new blood collection sites thereby aiding strategic planning and marketing operations.
Forecasted the propensity to donate blood and other biological products among donors using machine learning algorithms.
Evaluated and presented the impact of ferritin testing on the donor population, deferrals, and returns.

Data Scientist

Nigeria Inter-Bank Settlement System Plc (NIBSS)

full time contract7/2017 - 12/2021

Developed and deployed a deep neural network machine learning model which predicts future product volumes all year round with a 97.84% accuracy which aided efficient resource (human and machine) allocation for product volume peak periods. This further led to a 100% service uptime all year round and saved the company 52% in avoidable resource expense.
Revamped the existing Excel reports by developing and managing several business intelligence dashboards using Microsoft Power BI and Tableau. This improved the acceptance and quality of the reports sent to internal and external stakeholders by 95% based on the feedback received.
Managed the development and operations of a Business Intelligence Data warehouse architecture that enabled fact-based decision-making, ad hoc analysis, and insight generation. This led to optimal business decisions and improved revenue by 85%.

Research Analyst

The Education Partnership (TEP) Centre

full time contract6/2017 - 7/2017

Developed a data collection framework for the research, design, implementation, support and evaluation of education programmes, projects and initiatives across the public, private and non-profit sectors in Nigeria.
Automated the process for validating the quality of data elements and exhibiting the results of research in a presentation format, thereby drastically reducing the probability of human error by 100%.

Badges

Assessment Badge

Completed assessment

04/11/2023