About me
Brief Description
I bagged my Bachelors (BSc.) in Statistics in 2017 from the university of Nigeria Nsukka. In 2020, I was awarded the TotalEnergies (then Total) international masters Masters Scholarship to France were I obtained my masters degree (MSc) in Industrial and Applied Mathematics from Grenoble INP- ENSIMAG France. I am a current Postgraduate researcher (PhD) at the Universität Paderborn working on Multicriteria Machine Learning and AI
Work Experience
1. DATA ENGINEER INTERN
Amadeus SAS, France March 2022 - August 2022
- Analytics as an enabler for API experience improvement.
- Implementation of Machine Learning models to the data collected.
2. AUTOMATED HUMAN MACHINE INTERFACE TESTING INTERN
TotalEnergies Pau, France May 2021 - August 2021
- Using Selenium IDE software to develop tests that simulate a user workflow on the IQ-ALL application.
- Translating the tests into Java programming language, and adapting them to be launched on Azure Devops environment.
3. LOGISTICIAN
Sustainable Development Goals Oyo state, Nigeria Jul 2018 - Sep 2020
- Planned, organized, and ensured the effective execution of projects based on data collected and analyzed during previous projects (such as feeding the streets, project Motherless babies home, etc).
- Sensitization of the public on the 17 goals of SDGs.
4. DATA SCIENCE INTERN
National Bureau of Statistics Minna, Niger State, Nigeria Apr 2016- Sep 2016
- Collection of data- market survey, household survey, and farm survey.
- Analyzed collected data using software like SPSS, Microsoft Excel, etc.
Hobbies
Reading - Singing - Voluntaring - Teaching - Travelling - Cycling
Publications
1. Victoria, Oladugba Abimibola, Amakor Chidinma Augustina, Babatunde Oluwagbenga Tobi, and Nwogu-Ikojo Eluma Leonard. "ESTIMATION OF PROPORTIONS OF VARIABILITY IN TWO-WAY NESTED RANDOM EFFECT MODEL." Journal of Applied Probability 14, no.2 (2019) http://japs.isoss.net/14(2)2%2012032.pdf
2. Kayode Oshinubi, Mustapha Rachdi, Augustina C. Amakor, Peter Olumuyiwa, Abayomi Ayoade, Jacques Demongeot. “Approach to COVID-19 time series data using deep learning and spectral analysis methods .” Journal of Mathematical Biosciences and Engineering (2021) https://www.aimspress.com/article/doi/10.3934/bioeng.2022001?viewType=HTML
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