Yves Mfitumukiza Ndayisaba
Computer Engineering at Carnegie Mellon University Africa
Rwanda
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Fiber Optics Technician Intern at Nero Services Limited
I am deeply passionate about data science and machine learning, and I am currently advancing my education with a master’s degree in electrical and computer engineering. I am on the lookout for opportunities that will allow me to apply my analytical and technical expertise to tackle real-world data science challenges.
Experience
Nero Services Limited
Fiber Optics Technician Intern
January 2022 - December 2022
Installed fiber optics for LIQUID TELECOM in 50+ residential and corporate settings, resulting in a 40% increase in internet connectivity for local communities.
Conducted seamless splicing of over 100 fiber optics cables, reducing connectivity downtime by 30% and enhancing network stability.
Provided exceptional customer support, resolving issues for 80+ clients promptly, achieving 95% client satisfaction and bolstering the company's reputation.
Nero Services Limited
Fiber Optics Technician Intern
January 2022 - March 2022
• Installed fiber optics for LIQUID TELECOM in 50+ residential and
corporate settings, resulting in a 40% increase in internet connectivity
for local communities.
• Conducted seamless splicing of over 100 fiber optics cables, reducing
connectivity downtime by 30% and enhancing network stability.
• Provided exceptional customer support, resolving issues for 80+
clients promptly, achieving 95% client satisfaction and bolstering the
company's reputation
StarTimes
Electronics Repair Technician Intern
November 2016 - January 2017
• Repaired and optimized functionality for 150+ StarTimes TVs and
decoders, significantly improving customer viewing experiences by
50%.
• Diagnosed and replaced damaged components across 200+ devices,
resulting in a 90% increase in device efficiency and reducing
downtime.
• Employed efficient troubleshooting, achieving a 90% success rate in
issue resolution, leading to a 40% decrease in customer complaints.
StarTimes
Electronics Repair Technician Intern
January 2016 - December 2017
Repaired and optimized functionality for 150+ StarTimes TVs and decoders, significantly improving customer viewing experiences by 50%.
Diagnosed and replaced damaged components across 200+ devices, resulting in a 90% increase in device efficiency and reducing downtime.
Employed efficient troubleshooting, achieving a 90% success rate in issue resolution, leading to a 40% decrease in customer complaints.
Education
Computer Engineering
Carnegie Mellon University Africa
Graduating in 2025
Carnegie Mellon University Africa
Certificates & Badges
No certificates or badges added
Projects
Founder
This project implements a sophisticated machine learning-based recommender system that personalizes product suggestions using Singular Value Decomposition (SVD). Developed in Python and integrated with a Flask web application, it aims to enhance user experience on e-commerce platforms by tailoring recommendations to individual user preferences.
Languages
English
Professional
French
Beginner
Swahili
Beginner
Skills
MySql
AWS (Amazon Web Services)
Machine Learning
Python
Microsoft Excel
ArcGIS
Power BI