Kaduna State University
Bachelor of Science, Computer Science
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While my direct experience is rooted in data management, CRM operations, and administrative analytics rather than formal data labeling, the core competencies transfer directly. During my Graduate Internship at Access Bank, I was responsible for maintaining structured customer records, enforcing KYC data compliance, identifying and resolving data discrepancies, and ensuring every entry met regulatory accuracy standards — all of which mirror the precision and consistency required in data annotation and labeling work. At Dotmac Technology, I logged and categorized 50+ daily service requests, identifying patterns in customer data and escalating correctly classified issues — a process closely aligned with tagging, sorting, and quality-checking data for AI training pipelines. What sets me apart is my combination of a Computer Science degree and the full Google Data Analytics Certificate (7 courses), which gave me hands-on exposure to data cleaning, data preparation, structured thinking about data quality, and Python for data analysis. I understand how clean, well-structured data directly impacts the output of any analytical or AI system. I am detail-oriented, process-driven, and experienced working with CRM platforms and data entry systems under compliance requirements — skills that translate seamlessly into producing high-quality, consistent labeled datasets for AI training purposes.
Ephraim M. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Bachelor of Science, Computer Science
Administrative Executive
Graduate Intern – Retail Operations