Haneen Mawajdeh

Software Engineer and Data Analytics professional with hands-on experience in AI evaluation, prompt engineering, audio transcription, data annotation, quality assurance, and data analysis. Experienced in evaluating AI-generated responses, annotating and reviewing audio data, assessing speech and audio quality, and supporting AI model training and improvement. Skilled in Python, SQL, Excel, Power BI, and Tableau, with a strong focus on data quality, accuracy, critical thinking, and attention to detail.

Also experienced in computer education and school system administration.

Advanced Data Analytics Training Program at Correlation One (2024-10 – 2025-03)

• Mastered advanced analytics techniques through 17-week intensive training program, applying SQL, Python, and Excel to solve complex business cases
• Implemented Excel automation formulas reducing data duplication by 30%, enhancing dataset accuracy for strategic decision-making
• Built regression models to analyze advertising ROI and recommend optimized marketing budget allocation
• Engineered SQL queries and Excel functions to resolve null values, delivering 100% data completeness for customer database
• Developed Python automation workflows using Pandas and NumPy, cutting data preparation time by 40%
• Applied Z-score analysis to identify statistical outliers, improving data reliability for forecasting model

AI Prompt Engineer & AI Response Evaluator at Outlier | TELUS International (2023-01 – Present)

• Trained AI models through high-quality prompt writing, task instructions, and response evaluation
• Conducted linguistic, reasoning, and safety evaluations for large language models
• Assessed AI output quality, tone, empathy, and adherence to instructions
• Improved model accuracy and reliability by providing detailed annotations and corrections

Audio Transcription Reviewer & Acoustic Data Collector at Pila8 (2026-01)

• Reviewed and verified high-volume audio transcriptions to ensure Speech-To-Text (STT) accuracy for AI model training
• Recorded and curated voice datasets across varied acoustic environments, including high-noise and low-ambient-noise conditions
• Evaluated audio quality, background noise levels, and speech clarity to optimize Automatic Speech Recognition (ASR) systems
• Annotated audio files based on specific linguistic and environmental criteria to enhance the performance of Text-to-Speech (TTS) and Voice AI models

Audio Transcription & Annotation Project at Neevo (2026-01)

• Transcribed and reviewed Arabic audio recordings according to project-specific transcription and quality guidelines
• Identified speech segments, non-speech sounds, background speech, vocal noises, and other relevant audio events
• Applied accurate timestamps and annotation labels to ensure high-quality, structured transcription data
• Reviewed transcripts for accuracy, consistency, and adherence to project requirements
• Performed quality assurance checks to identify and correct transcription and segmentation errors

Computer Teacher & System Administrator at Al-Quds School (2024-01 – Present)

• Teach computer skills to students in grades 7–10
• Manage the 'Ajyal' school management system for student records and administrative tasks
• Prepare student performance reports and submit them to school management
• Create statistical reports on student numbers and demographics
• Prepare school schedules using Microsoft Excel functions and formulas
• Manage student enrollment, transfers, withdrawals, and academic records

Bachelor's Degree in Software Engineering – The Hashemite University (2011-01 – 2015-01)