Robert Hanlon

Detail-oriented data science graduate with hands-on experience supporting machine learning systems through high-quality data annotation, evaluation, and dataset preparation. Strong foundation in Python, SQL, exploratory data analysis, and machine learning fundamentals. Experienced in guideline-driven review processes, quality assurance, and remote collaboration. Seeking contract-based opportunities in AI training, evaluation, and data quality roles.

AI Data Annotation & Evaluation Specialist at Independent / Contract-Based (2023-01 – Present)

• Performed high-accuracy data annotation and labeling to support supervised and reinforcement learning workflows.
• Evaluated AI model outputs for correctness, coherence, bias, and guideline compliance.
• Followed complex annotation instructions with strong attention to detail and consistency.
• Provided structured feedback to improve model performance and reliability.
• Maintained quality standards across large volumes of data in time-sensitive environments.

Data Analyst (Project-Based) at Independent & Academic Projects (2023-01 – 2025-12)

• Built, cleaned, and maintained structured datasets using Python (Pandas, NumPy) and SQL.
• Conducted exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Created visualizations using Matplotlib to communicate insights clearly.
• Applied statistical reasoning to support research and analytical decision-making.

Content & Data Strategy Analyst at Digital Media Projects (2022-01 – 2024-12)

• Designed data-driven content strategies by analyzing engagement and performance metrics.
• Combined qualitative insights with quantitative analysis to optimize digital content.
• Produced clear analytical summaries for non-technical stakeholders.

Research & Data Collaboration Assistant at Drexel University (2022-01 – 2025-12)

• Collaborated on research-based academic projects involving data collection, analysis, and presentation.
• Supported group projects using structured workflows and remote collaboration tools.
• Demonstrated adaptability, clear communication, and deadline-driven execution.

Bachelor of Science in Data Science – Drexel University (2022-01 – 2026-12)