CHRIS ECHE

Experience

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  National Center for Remote Sensing

  Apr 2012 - Oct 2012

  Undergraduate Intern

  During this internship, I worked on:• Enhancing Traffic Monitoring System: Developed a cost-effective, battery-powered system using WiFi Channel State Information (CSI) to improve traffic management.• Detecting Intentional Wireless Signal Perturbations: Creating algorithms to identify and address intentional disruptions in wireless signals, improving network security.

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  Nnamdi Azikiwe University

  Nov 2012 - Jul 2013

  Undergraduate Research Assistant

  I worked as an Undergraduate Research Assistant at the Department of Electronic and Computer Engineering at the Nnamdi Azikiwe University Awka where my job role entail assisting with literature searches and reviews, data collection activities by helping with experiments and recording observations, laboratory support, entering data into database ensuring accuracy and consistency while learning and gaining experience in research methodologies, data analysis techniques and academic writing.

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  UNITED BANK FOR AFRICA

  Sept 2015 - Mar 2022

  Team Member - IT Regional Support Engineer - NORTH CENTRAL

  •Achieved 85% first call resolution of tickets and helped reduced turnaround times significantly, addressing over 450 tickets logged per month and averaging 25+ tickets daily •Provided first level on IT helpdesk support in assigned business offices. •Ensured all IT problems within my business offices are identified and solutions found and implemented. •Kept documentation of all support activities in the Ticketing System and pro-actively picked, solved, and closed tickets in the system. •Maintained an up-to date inventory of IT assets for all my business offices. •Assisted in maintaining LAN/WAN records and, as appropriate, telephone systems cable. •Implemented and documented a disaster recovery plan and offsite storage of backed up data. Show less

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  Fidelity Bank PLC

  Apr 2022 - now

  System Support Engineer - North

  •Provide explicit service level agreements (SLAs) and key performance indicators (KPIs) for IT Support by using intelligent ticketing systems where Machine Learning based systems are implemented to automatically categorize and prioritize support tickets. Issues are routed to the appropriate team members and suggest potential solutions based on similar past issuesresulting in a 25% reduction in response times and a 20% Increase in first-call resolution rates• Conduct a comprehensive IT asset inventory and lifecycle management initiative by using Machine Learning models to predict the optimal lifespan of hardware components, using predictions based on factors like usage patterns, performance degradation, and maintenance history to help in planning timely upgrades or replacements resulting in a 10% cost savings on hardware and software renewals.• Organize regular training sessions and workshops on emerging technologies, best practices, and industry certifications to ensure review of the performance of the Machine Learning models in use and updating them to ensure their accuracy.• Implement a centralized patch management and software update process, enhancing system security and compliance by collaborating with the IT Governance and Compliance Team.• Collaborate effectively with cross-functional teams, such as network operations, application support, system security, and project management, to deliver seamless IT support services by implementing Machine Learning algorithms that analyze network traffic in real time and these algorithms can also automatically adjust network configurations to optimize performance, such as rerouting traffic during high load periods or identifying and preventing bottlenecks.• Implement remote support tools, reducing on-site visits by 30% and improving the team’s productivity. Show less