Support Engineer
About Me
I am an enthusiastic and driven MS in Artificial Intelligence and Machine Learning student and IT professional. Although I am still enrolled in university, I have nearly seven years of experience in a professional environment, mainly with regard to Python, SQL, cyber security, networking, banking, finance, analysis, and general IT.
Skills
PythonSQLCommunicationAnalytical SkillsTime ManagementData AnalysisMicrosoft OfficeMachine LearningLeadershipMicrosoft ExcelNetworkingFlexibility
Experience
- Engage with customers on escalated support issues or critical customer situations
- Provide expert systems design, recommendations, and configurations
- Perform in-depth diagnostics and troubleshooting using networking tools
- Assist customers with testing or troubleshooting of networking or cloud service issues
- Reproduce customer issues to verify problems and document steps to replicate for Support, Engineering, and Operations teams
- Conduct extensive research and development activities to identify and implement new technologies, tools, and methodologies that can enhance the product development process
- Analyzing user requirements, developing prototypes, and working closely with cross-functional teams to ensure timely delivery of high-quality products
- Thorough testing and debugging activities, creating user manuals and technical documentation, and providing ongoing support to end-users
- Providing exceptional customer service to credit union members by assisting them with their financial needs and questions
- Opening and closing accounts, processing deposits and withdrawals, and performing other routine transactions for credit union members
- Promoting credit union products and services to members and helping them to achieve their financial goals
- Manage and grow customer relationships, maintain revenue-producing "Book of Business"
- Sales and business development, meet and exceed sales goals, develop strategies to increase retention
- Risk management and compliance, conduct regular risk assessments to identify areas of risk
Education
MS, Artificial Intelligence and Machine Learning
- Relevant courses include Management for the Computer Science Professional, Foundations of Artificial Intelligence, Principles of Machine Learning, Design and Analysis of Algorithms, Applying Machine Learning and Neural Networks - Capstone
- Dean's List, 4.0 GPA
BS, Business Management, Specialization in Digital Marketing
- Relevant courses include Quantitative Business Analysis, Information Systems Design and Analysis, Strategic Communication of Data Analysis
- Dean's List, 3.8 GPA
Portfolio not available.