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Obinna Akamadu Web developer

About Me

As a full stack developer, I craft scalable and responsive applications, navigating front & back-end landscapes to deliver seamless user experience. Also, my skills as a data scientist empowers me to analyze and interpret complex datasets transforming them into actionable insights that inform and enhance the technological solutions I develop.

PROJECTS (Available on request)

•       Book Management Application: Built with NodeJS, PostgreSQL, EJS, Express.JS and Axios. Designed and executed a full-featured web application using Axios for API calls, Passport.js for user authentication, incorporating Google OAuth and bcrypt for secure registration and login. Implemented dynamic content rendering and an advanced book management system, allowing for sorting, adding, editing, and displaying books, with the interface built on Express.js and EJS templates and with JS, Postgres database.

•       Personalized Joke Generator: Developed a user-interactive web application utilizing Express.js and EJS templates to fetch and display customized programming jokes from an external API. Implemented a responsive front-end design for user inputs, enabling a tailored experience based on individual names.

•       Inventory Management App: Created a dynamic shoes inventory management app leveraging Microsoft low code technology: Power Apps, Power Automate, and Power BI, featuring a chatbot interface for customer interaction. Tailored access levels for customers, store staff, and managers facilitate seamless functions such as filtering, sorting, and adding items to carts, while Power Automate ensures real-time notifications to managers via Teams upon new item additions. With Power BI’s visualization capabilities, the app delivers comprehensive insights into fast-moving and slow-moving sales trends, optimizing decision-making and enhancing overall operational efficiency.

 

JOB EXPERIENCE
Data Scientist  @Limagrain Nederland B.V,  Rilland, The Netherlands

Oct. 2023 – Date

 

KEY RESPONSIBILITIES

•       Collaborate with teams to understand project objectives and requirements.

•       Analyze large-scale datasets derived from NIR spectroscopy, phenotype data, and molecular markers.

•       Create dashboards and present them to the supervisors.

•       Apply unsupervised learning algorithms such as clustering and dimensionality reduction or other novel algorithms of classification.

•       Utilizing multivariate analysis on the related datasets.

•       Interpret and visualize results and present findings and recommendations to the teams.

Education

  • Masters at Hanze University of Applied Sciences, Netherlands

    Feb 2023 to May 2024