Mr Glory Ogbonda
Affiliations
Links
- https://www.linkedin.com/in/ebube-glory-ogbonda-05bb2014b/
I am a data scientist and a full-stack developer with a passion for creating data-driven solutions that drive business results and social impact. I have years of experience in analysing complex data sets, developing predictive models, and designing interactive visualisations using a wide range of technologies and techniques, such as machine learning, data visualisation, and statistical analysis. Currently, I am pursuing a PhD in Computer Science at Bangor University, as part of the UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing, where I am conducting a research on the use of AI in visualising the UK public law. I am also a Senior data analyst at Qrapp Technology, where I conduct extensive data analysis to identify key trends and patterns in customer behaviour, resulting in a 10% increase in customer engagement. Additionally, I am a lead software developer at Tawa Online, where I use Javascript, AngularJS, ReactJS, MarionetteJS, BackboneJS, and NodeJS to develop and maintain web applications and services. I am seeking a challenging role in a dynamic organisation where I can apply my skills and expertise to drive meaningful impact. I am adept at using various tools and frameworks, such as Mapbox, D3.js, MongoDB, SQL server, Git, and CI/CD architecture. I am also a certified software professional and a co-author of two publications in Eurographics Digital Library. I have a strong background in information technology and business informative systems, having obtained my bachelor's and master's degrees from Middlesex and Bangor University , and two diplomas from NIIT Pune. - https://github.com/OgbondaGlory
Github profile - https://www.credly.com/users/ebube_glory_ogbonda
Credly Professional Profile - https://scholar.google.com/citations?user=WJ0-CMUAAAAJ&hl=en&inst=2074156991885190451
Google Scholar - https://ebubegloryogbonda.dev/
Hello, Iām Ebube Glory Ogbonda, Data Scientist, Full Stack Developer Based in the United Kingdom. See link for Web CV - https://www.kaggle.com/ogbondaglory
Kaggle Profile - https://www.coursera.org/user/9f8956c5ece29887d2e4e5b2d715cf83
Data engineer passionate about Data Science š. I like automating, building scalable pipelines, and improving and optimizing systems. I am a Strong Advocate for š open source, āļø Cloud computing, š DevOps, š Innovation and Automation š¤ š± Iām currently pursuing Masters in Advanced Computer Science at Bangor University, UK ā” Fun fact: I am a firm believer in the Chaos theory, which states that even in unpredictable environments with seemingly random oddities and irregularities, there exists a predictable and sensible pattern that is not initially visible. š” I'm interested in all things data: Big Data, Cloud, Machine, Deep and Reinforcement Learning, Data Science and Visualizations š¬ Talk to me about Formula 1 šļø, Memes, Anime, Movies š„, Call of Duty š®, Amateur Photography šø
ORCID: 0009-0002-9781-7537
Education / academic qualifications
- 2023 - MSc , Master of Science Advanced Computer Science (Computer Science) , Bangor University (2022 - 2023)
- 2018 - BSc , Bachelor's degree Information Technology and Business Informative Systems (Computer Science) (2014 - 2018)
- 2017 - Professional , Professional Diploma in Information Technology ( Software Engineering ) (Computer Science) (2015 - 2017)
- PhD , Doctor of Philosophy - PhD Computer Science (Artificial Intelligence Machine Learning and Advanced Computing CDT) (Computer Science) , Bangor University (2023 - 2027)
- Other , Non Degree (Visiting) (Physics (Quantum Computing) (2024)
- Non Degree (Visiting) PGR (2PHYS028R) (School of Physics (Machine Learning) (2023)
- Other , Non Degree (Occasional Studies) (Cardiff School of Physics & Astronomy (Astrophysics Data Analysis) (2023)
- Other , Non Degree (Visiting) (Computer Science (Research Methods) (2023)