Dianne Obiano
@dianneobiano
I improve B2B customer adoption by uncovering operational friction and turning feedback into practical product improvements.
What I'm looking for
At Nsoroma GPS, I serve as the primary contact for B2B and B2C clients, leading discovery-based onboarding and resolving technical and service friction. I turned recurring customer complaints into support guidance and internal playbooks that cut recurring tickets by 20%+.
I've also improved retention by approximately 40% through personalized service and proactive follow-up at Cy General Enterprises. Across customer success, account management, IT support, and remote administrative work, I translate customer insight into clearer processes, stronger adoption, and growth opportunities.
Experience
Work history, roles, and key accomplishments
Customer Success Manager & IT Support
Nsoroma GPS
Jul 2024 - Jul 2026 (2 years)
Served as primary point of contact for B2B and B2C clients, resolving technical and service friction. Led onboarding conversations to improve adoption and reduced recurring support tickets by 20%+.
Virtual / Personal Assistant
Anambra State Government
Feb 2023 - Oct 2023 (8 months)
Managed calendars, emails, and documentation for senior officials. Digitized records and workflows, improving accessibility and reducing manual errors.
Customer Care Representative
Cy General Enterprises
Dec 2021 - Nov 2022 (11 months)
Handled 30+ customer inquiries daily, improving retention by approximately 40% through personalized service and proactive follow-up. Logged interactions using CRM tools and identified upsell opportunities.
IT Support Intern
Arravo Global Services
Aug 2021 - Oct 2021 (2 months)
Assisted with software installations, system updates, and hardware upgrades. Provided first-line troubleshooting and monitored system performance.
Education
Degrees, certifications, and relevant coursework
Accra Institute of Technology
Bachelor of Science, Information Technology
Bachelor of Science in Information Technology with a focus on Network Systems. Final project on customer churn prediction in telecommunications using machine learning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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