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Oluyede S. - , JavaScript, Azure

My name is Oluyede S. and I have over 4 years years of experience in the tech industry. I specialize in the following technologies: Python, Machine Learning, Flask, Cloud Computing, Microsoft Active Directory, etc.. I hold a degree in . Some of the notable projects I’ve worked on include: My Writing Expertise, Using SQL to build a real-life farm management database, NLP sentiment webapp/API. I am based in Akure, Nigeria. I've successfully completed 3 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • 4 years

  • Python

    2 Years

  • Machine Learning

    1 Year

  • Flask

    2 Years

Additional skills

  • Python
  • Machine Learning
  • Flask
  • Cloud Computing
  • Microsoft Active Directory
  • DHCP
  • Customer Support
  • Django
  • Network Administration
  • Article Writing
  • Content Writing
  • JavaScript
  • Azure

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Experience Highlights

My Writing Expertise

A Bachelor’s degree holder in computer science, experienced in writing SEO blogs, technical documentation, and writing technical articles and guides on AI, Cloud Computing, Data Science, etc

Using SQL to build a real-life farm management database

This project demonstrates how SQL can be implemented by building a real life farm management database in Microsoft SQL Server Management Studio based on the entity relationship diagram shown above, and also applying SQL commands on the database in other to learn some important SQL concepts. The important SQL Concepts are explained and the proper syntax is provided. This project therefore makes SQL easily understandable for beginners and intermediate learners.

NLP sentiment webapp/API

developed and modelled a web application that uses machine learning ( Natural language processing ) to analyze a word, sentence or text to get the sentiment , emotions, and categories of keywords and entities, it has a custom hotel reviews classifier, and also summarises long sentences. This web app can also be used as an API for developers during development of there own mobile or web solutions. This application helps in getting client feedback via GUI or API and can also be used to facilitate reading,therefore can be applied in the marketing and educational sector.

Education

  • Federal University of Technology Akure

    in

    2015-01-01-2020-01-01

Languages

  • English