Emeka Udogadi
CUSTOMER SUPPORT
REPRESENTATIVE
-| https://linkedin.com/in/emekaudogadi-948a0618b
EXPERIENCE
TeKnowledge | Technical Support Engineer
2023 – Present
PROFESSIONAL SUMMARY
Customer-focused and Tech-savvy Technical Support
Engineer combining technical knowledge in B2B
SaaS Platforms with practiced interactive skills to
deliver premium customer support to clients,
leveraging effective communication and problemsolving skills to maintain a customer-centric
approach and achieve a 5.0 customer satisfaction
rating. Currently leveraging expertise at
TeKnowledge since February 2023.
EDUCATION
Nnamdi Azikiwe University, PGD Computer Science 2025
Nnamdi Azikiwe University, BSc Applied
Microbiology and Brewing 2012
SKILLS
Microsoft Dynamics 365 CRM
Administration
Communication
Customer Support
Problem Solving
Patience
Empathy
Resourcefulness
Technical knowledge
Microsoft Office
Power BI
Adaptability
Troubleshooting
Research and Analysis
Data Science
Machine Learning
Data Visualization
SQL
Python
Provide support to Microsoft Dynamics 365
CRM Administrators to resolve issues on
user management and user synchronization
with Microsoft Entra ID, environment
provisioning and management, Storage
capacity management, configuration and
troubleshooting of Business Rules, Business
Process Flows, and Workflows, Tenant-2Tenant and Data Center migrations,
Installation and upgrade of Dynamics 365
CRM on-premises infrastructure
deployments.
Promptly and adequately manage my ticket
flows, escalations, SLAs and workload.
Respond to assigned customer tickets,
engaging in troubleshooting and resolving
customer’s issues by replicating customer
issues in my test environment and provide
resolution steps with customer when
identified or swarm with Technical
Advisors, Escalation Engineers, and
Engineering Team if issue is due to software
bugs, feature limitations, or third-party
integrations.
Maintaining average monthly CSAT rating
of 4.8.
Omdena | Data Scientist (Volunteer)
2023 - Present
Responsibilities include developing
advanced Machine Learning/Deep Learning
models to address complex challenges.
Build and train machine learning models
with significantly improved prediction
accuracy on key projects.
Collaborate with cross-functional teams to
deploy models and integrate data solutions,
enhancing overall project efficiency.
Conduct Exploratory Data Analysis,
uncovering insights that lead to making well
informed strategic initiatives.
Streamline data verification processes,
increasing the reliability of datasets used in
machine learning applications.
