
Habtamu G
Data Analytics, Cleaning, RFM segmentation and Dashboard
Habilidades

Revisa mis servicios

Experiencia laboral
Teacher / Academic Tutor
Evangadi Tech • Tiempo completo
Apr 2025 - Oct 2025 • 6 mos
• Evaluated content accuracy, analytical reasoning, and student written work across English, Mathematics, Science, Social Studies, and Computer Science (Grades 1-8). • Designed and graded 150+ standardized assessments against strict curriculum rubrics, providing precise written feedback and adapting instructional strategies based on results. • Leveraged AI tools to benchmark curriculum materials against official educational standards, identifying content alignment gaps with high precision. • Communicated findings and student progress clearly through written and verbal channels while collaborating in a fully remote, digital-first environment.
Self employed / Freelance
Freelance • 1 yr 1 mo
Freelance AI Data & Model Evaluation Specialist
Oct 2024 - Feb 2025 • 4 mos
• Evaluated, scored, and ranked 750+ multi-turn frontier LLM interactions across complex STEM, quantitative economics, and multi-step logic prompts against task-specific rubrics. • Annotated and validated 1,200+ prompt-response pairs under RLHF and SFT workflows, maintaining strict compliance with comprehensive client evaluation guidelines. • Identified and categorized model failure modes using a 12-point error taxonomy, isolating factual hallucinations, deductive reasoning leaps, and constraint-violation edge cases. • Authored clear, evidence-backed written rationales detailing model performance, justification of scores, and actionable feedback for prompt-response refinement. • Maintained a 99.4% benchmark audit pass rate across weekly blind quality assurance reviews and senior auditor evaluations.
Data Analytics Freelancer | Data Entry
Jan 2024 - Oct 2024 • 9 mos
• Cleaned, validated, and audited 50,000+ transactional and customer data records using Python, SQL, and Excel, resolving data-quality anomalies prior to analysis and reporting. • Applied regression modeling and association-rule mining to analyze purchasing behaviors, uncovering three high-yield product-bundling opportunities. • Generated recommendations directly contributing to an approximately 12% increase in cross-sales across targeted retail categories. • Automated weekly SQL and Excel reporting workflows, reducing manual processing time by eight hours per week.