About

Here is a little background

I am Miracle Adeoye, a senior Information Technology student at Texas Tech University with a 3.9 GPA, specializing in Data Analytics and Systems. I’m seeking opportunities in Software Development, Data Analysis, Software Engineering, Data Engineering, and Web Development, where I can apply my technical skills and creative problem-solving abilities to drive meaningful innovation. Let’s connect if you’re seeking someone who is driven, results-focused, and eager to make a positive contribution to your team!

Experience

X-FAB logo

X-FAB

Business Intelligence Intern

Mon Jun 03 2024 - Tue Sep 03 2024

  • Developed Data Analytics Dashboard: Created a Defect Density Dashboard using MongoDB and Python, which improved data retrieval times by 30% and increased defect detection accuracy by 20%. This involved designing data models, implementing ETL processes, and visualizing data to support analytical needs.
  • Performed Advanced Data Analysis and Reporting: Generated comprehensive quarterly and monthly trend reports for internal and external stakeholders. Analyzed large datasets to provide detailed insights into operational efficiencies and quality control measures, facilitating data-driven decision-making.
  • Optimized Database for Analytical Performance: Conducted schema optimization in MongoDB to enhance database structure and performance by 20%. Improved query efficiency and data accessibility, enabling more effective data analytics for manufacturing operations.
Texas Tech University, College of Media and Communication logo

Texas Tech University, College of Media and Communication

Student Technician

Mon Sep 18 2023 - Present

  • Resolved over 50 complex IT challenges monthly, ensuring seamless technology operations across the university and contributing to a 35% increase in system reliabilityadvanced IT communications, expertly resolving intricate faculty/staff IT challenges.
  • Trained and mentored a team of four junior IT support staff, equipping the team with advanced troubleshooting skills and techniques, leading to a 50% reduction in escalated support tickets.
  • Coordinated a team of 10 technicians to create a standardized IT service delivery guide, now used across departments, enhancing consistency in service for 150+ faculty members and ensuring quality support.
Advanced Technology Learning Center logo

Advanced Technology Learning Center

Student Technician

Mon Jun 03 2024 - Tue Sep 03 2024

  • Facilitated the maintenance and operation of 43 campus printers and managed over 500+ computer systems, achieving a 95% uptime for students, researchers, and staff.
  • Deployed and executed Microsoft and third-party software installations, ensuring employees could fulfill their roles with a 98% success rate.
  • Implemented daily system vulnerability upgrades via the KACE server, resulting in an average response time of 15 minutes or less for all reported issues, significantly enhancing IT security and operational efficiency.
X-FAB logo

X-FAB

Software Engineering/Machine Learning Intern

Fri Jun 02 2023 - Tue Sep 03 2024

  • Developed and implemented software solutions tailored for semiconductor manufacturing processes, improving operational efficiency by 15%.
  • Contributed to the development of a web-based dashboard for real-time monitoring of manufacturing processes using Angular and TypeScript, enhancing decision-making capabilities for the management team.
  • Developed and implemented software solutions in Python and SQL tailored for semiconductor manufacturing processes, improving operational efficiency by 15%.
  • Led the integration of AI-based defect detection algorithms into manufacturing workflows, utilizing machine learning techniques to enhance the accuracy of defect identification and reduce false positives by 30%.
  • Spearheaded the automation of data analysis tasks using Python, reducing manual data handling time by 25% and improving data accuracy.
  • Developed blur detection, false defect detection, and same defect detection algorithms for defect wafers, significantly improving the quality control process by automating defect analysis and minimizing human error.

Skills

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Projects

Project Disney+ 2.0 Clone with NEXT.JS 14

Case Study 1 of 9: Disney+ 2.0 Clone with NEXT.JS 14

In this project, I meticulously crafted a front-end clone of the Disney+ platform using NEXT.JS 14, showcasing my expertise in advanced front-end development. The core of the project is a responsive and dynamic web application, seamlessly integrating with external APIs to fetch and display real-time movie data. The emphasis was on creating an intuitive and engaging user interface, achieved through the innovative use of Shadcn for UI components and Tailwind CSS for sophisticated styling. This clone is a testament to my skills in creating visually appealing, functional interfaces with a focus on user experience. The deployment on Vercel further demonstrates my ability to efficiently launch and manage high-quality web solutions, highlighting my proficiency in contemporary web technologies and front-end development.

Project Modern Portfolio with NEXT.JS

Case Study 2 of 9: Modern Portfolio with NEXT.JS

In this project, I engineered a modern, responsive portfolio website utilizing NEXT.JS, complete with dynamic animations powered by Framer Motion and sophisticated styling via Tailwind CSS. The portfolio features a seamless user experience, thanks to intuitive UI/UX design and robust error handling, with a back-end managed by Sanity.io. The development process included setting up a structured project with NEXT.JS, crafting API endpoints, and managing form state with React hooks. This portfolio is a testament to my full-stack development skills, showcasing a blend of aesthetic appeal, functionality, and clean coding practices.

Project Electro - E-commerce Platform for Electronics and Gadgets

Case Study 3 of 9: Electro - E-commerce Platform for Electronics and Gadgets

Developed a dynamic e-commerce platform using Django for electronics and gadgets, offering users a seamless shopping experience. Integrated JavaScript for interactive features such as product filters and real-time cart updates. Implemented secure user authentication, product listings, and order management. Deployed the platform on MySQL for efficient data handling, with a responsive UI built using HTML, CSS, and Bootstrap to ensure cross-device accessibility

Project TrackTwist Web Application

Case Study 4 of 9: TrackTwist Web Application

For the TrackTwist Web Application, I developed a responsive application using React.js, integrating with the Spotify API for enhanced music playlist management. The app features user authentication, allowing logins through Spotify accounts. It is deployed on Netlify for widespread accessibility and optimized performance, using technologies like React.js, Spotify API, CSS, and Netlify. This project highlights my skills in web development and API integration, with a focus on user experience and application performances.

Project ReactJS Weather App: A Fusion of Function and Design

Case Study 5 of 9: ReactJS Weather App: A Fusion of Function and Design

In this initiative, I engineered a sophisticated ReactJS weather application that displays live and predictive weather data with accuracy and style. The application is designed to provide users with a streamlined experience, offering quick insights into weather patterns, thus enhancing daily planning efficiency. It exemplifies my capacity to merge responsive design with practical functionality, leveraging React's robust framework for a reliable, user-centric tool

Project Business Intelligence Data Extraction Project

Case Study 6 of 9: Business Intelligence Data Extraction Project

In this project, I developed a comprehensive business intelligence data extraction and analysis pipeline using Python. The focus was on extracting actionable insights from diverse datasets to aid strategic decision-making. The project involved rigorous data handling using Pandas, where I executed data manipulation, cleansing, and analysis. I crafted a detailed report and presentation, highlighting methodologies, findings, and business implications, showcasing my ability to transform complex data into understandable and actionable information. This endeavor not only demonstrates my proficiency in Python and data analysis but also underscores my capabilities in presenting complex information in an accessible format, a key skill in the field of data analytics.

Project COVID-19 Vaccine Global Tracker

Case Study 7 of 9: COVID-19 Vaccine Global Tracker

For the COVID-19 Vaccine Global Tracker project, I developed an interactive Tableau dashboard to provide a comprehensive overview of worldwide vaccine distribution. The focus was on converting complex data sets into clear, easily understandable visualizations. This approach greatly aided stakeholders in grasping the intricacies of vaccine distribution trends. The project underscored my proficiency in data interpretation and presentation, utilizing tools and skills in Tableau, data visualization, and data analysis to effectively communicate critical health information.

Project SpotifySearcher Web Application

Case Study 8 of 9: SpotifySearcher Web Application

In the SpotifySearcher Web Application project, I created a responsive web app using React, designed to search and display tracks and artists via the Spotify API. Key features include implementing real-time, asynchronous API requests using Axios for efficient data retrieval. I emphasized creating a user-friendly interface with intuitive UI/UX design and robust error handling. Technologies used in this project were React, Axios, and the Spotify API, showcasing my skills in front-end development and API integration.

Project Neutral News – Hackathon Project

Case Study 9 of 9: Neutral News – Hackathon Project

In the Neutral News hackathon project, I collaborated with my team to build a full-stack news app using Python (Django) for the backend and Flutter for the frontend. Our goal was to scrape news from multiple sources, compare articles, and eliminate bias. We integrated OpenAI for summarization and used REST APIs to improve data processing speed by 40%. One of the challenges we faced was scraping data from websites with restrictive access. We overcame this by designing intelligent systems using BeautifulSoup and difflib to enhance bias detection. I also focused on ensuring a responsive user experience across all devices. This project highlighted our teamwork and ability to integrate AI to create an innovative, neutral news platform.

Contact

I have got just what you need.
Let us Talk

+1281876****

adeoyemiracle123@gmail.com

Sugar Land, Texas