Miracle Adeoye
Student Technician at College of Media & Communication, Texas Tech University- Claim this Profile
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English Native or bilingual proficiency
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Yoruba Native or bilingual proficiency
Topline Score
Bio
Credentials
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Microsoft Excel 2019
MicrosoftFeb, 2023- Nov, 2024
Experience
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College of Media & Communication, Texas Tech University
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United States
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Higher Education
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1 - 100 Employee
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Student Technician
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Sep 2023 - Present
• Enhanced tech communication, assisting faculty and staff with complex IT queries. • Provided on-the-spot troubleshooting, ensuring seamless college tech operations. • Maintained the IT environment, championing device reliability and performance. • Enhanced tech communication, assisting faculty and staff with complex IT queries. • Provided on-the-spot troubleshooting, ensuring seamless college tech operations. • Maintained the IT environment, championing device reliability and performance.
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Texas Tech University
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United States
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Higher Education
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700 & Above Employee
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Student Technician at The Advanced Technology Learning Center
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Jan 2022 - Present
Supported 43 campus printers and maintained over 500+ computer systems, resulting in 95% uptime of all IT resources for students, researchers, management, and test personnel.Deployed and organized Microsoft and third-party software products, ensuring all employees were able to fulfill their roles and responsibilities with a 98% success rate.Implemented and upgraded vulnerabilities daily via the KACE server by using Quest KACE software, resulting in an average response time of 15 minutes or less for all reported issues. Show less
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Student Assistant at The Market
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Mar 2021 - Dec 2021
Executed customer service initiatives to facilitate a positive patron experience, resulting in a 15% increase in customer satisfaction ratings. Managed multiple projects simultaneously while increasing store sales by 10%, ensuring adherence to store procedures and standards.
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X-FAB
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Germany
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Semiconductors
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700 & Above Employee
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AI Data Labeling Intern
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Jun 2023 - Sep 2023
• Achieved the creation and validation of crucial defect datasets, essential for AI-powered defect detection, by collaborating with technical teams and using advanced data verification techniques. • Enhanced the accuracy of AI models, as evidenced by a marked decrease in data discrepancies, by orchestrating collaborative efforts with tech specialists and fine-tuning results. • Improved the quality of AI labeling processes by 25%, as gauged by precision metrics, by leveraging DarkMark technology and instituting best practices. Show less
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Education
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Texas Tech University
Bachelor's degree, Information Technology