As a dedicated Ph.D. candidate at Handong Global University and the pioneering founder of Zuri AI Labs in Cameroon, I am committed to advancing the fields of machine learning and artificial intelligence. My current research focuses on time series data forecasting, where I develop innovative techniques to enhance the performance of machine learning and deep learning models. Additionally, I address the scarcity of time series data by developing advanced data augmentation models. My work is driven by a profound passion for technological innovation and a commitment to making a positive global impact.At Impactive AI, I undertake a range of responsibilities, including data collection and analysis, as well as the development of sophisticated ML/DL models aimed at optimizing predictive performance. Our collaborations with various companies in South Korea and the United States are centered on delivering cutting-edge solutions and fostering significant advancements in the AI sector. We strive to revolutionize African industries through Zuri AI Labs by integrating AI capabilities into our clients' business operations. By offering our predictive solutions via a SaaS model, we are strategically positioned in Cameroon, targeting the markets in Africa, Europe, and in middle east.
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Guest LecturerHandong Unesco UnitwinPohang-Si, Kr -
Chief Executive OfficerZuri Ai Labs Oct 2023 - PresentCameroon -
Machine Learning EngineerImpactive Ai Jul 2023 - PresentSeoul, South Korea1- Extensive research activities for demand forecasting-related problems faced by Korean companies in their respective industries (retail, pharmaceutical, fashion, etc.).2- Perform exploratory data analysis prior to ML modeling3- Build advanced methodologies using state-of-the-art Machine Learning models to meet top prediction performances for clients’ problems. References: JW (South Korea): Built a data augmentation framework (through several in-lab experiments) using an Adversarial Auto-Encoder (AAE) to boost the ML models’ forecasting accuracy. Zinus (U.S): Data collection and analysis; Built advanced ML models (Transformers, tree-based models), using various state-of-art techniques (Pytorch, Tensorflow, Clustering methods, stacked ensemble methods, differentiation techniques for TS model construction, SHAP-based feature selection) to optimize the forecasts of Amazon’s sell-in.
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Junior ResearcherHandong Global University Feb 2023 - PresentPohang, North Gyeongsang, South Korea -
Assistant Research OfficerMinistry Of Finance Sep 2018 - PresentYaoundé, Cameroon -
Information System Security OfficerMinistry Of Finances (Cameroon) Jan 2016 - Sep 2018YaoundéIn charge of the security aspects of the information system used within the Budget General Directorate of the Ministry of Finances.
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It EngineerMinistry Of Finances (Cameroon) Oct 2011 - Jan 2016YaoundéIT network administration Project manager assistant
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Chef De ProjetsByoos Open Source Solutions Feb 2010 - Aug 2012
Renaud Axel Eba Skills
Renaud Axel Eba Education Details
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Phd Student -
Ict Convergence -
St DigitalBusiness Administration And Management, General -
Cyber Security -
Business/Managerial Economics -
Centre For Excellence In Telecom Technology & Management Mumbai (India)Intelligent Network, Value Added Services And Modern Switching Technologies -
Université De Yaoundé 1
Frequently Asked Questions about Renaud Axel Eba
What company does Renaud Axel Eba work for?
Renaud Axel Eba works for Handong Unesco Unitwin
What is Renaud Axel Eba's role at the current company?
Renaud Axel Eba's current role is Guest Lecturer.
What schools did Renaud Axel Eba attend?
Renaud Axel Eba attended Handong Global University, Handong Global University, St Digital, Rochester Institute Of Technology, Imf Business School, Centre For Excellence In Telecom Technology & Management Mumbai (India), Université De Yaoundé 1.
What skills is Renaud Axel Eba known for?
Renaud Axel Eba has skills like .net, Linux, Visual Studio, Eclipse, Html, Java, Gestion De Projet, Xml, Php, F#, C++, Sql.
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