Lior Shviro

Data Scientist specializing in LLM-powered production workflows, NLP, and machine learning, with hands-on experience translating complex business problems into scalable AI solutions. Skilled in Python, SQL, and applied ML. Experienced in working across global teams, fast-paced startups, and large organizations.

Junior Data Scientist at AIOLA (2025-10 – Present)

• Architected and deployed multiple LLM-driven workflows, translating complex business requirements into production-ready AI solutions.
• Designed and optimized prompts and pipelines to enhance ASR performance and automated data extraction from speech using various AI frameworks.
• Developed structured schemas and post-processing logic to maintain scalable pipelines, achieving up to an 80% improvement in ASR output accuracy.
• Managed end-to-end ASR model training, including data collection, preprocessing, and executing fine-tuning runs on production servers.
• Integrated evaluation frameworks to ensure consistent benchmarking and iterative model improvement across global engineering and data teams.

Data Analyst at Johnson & Johnson (2023-12 – 2025-10)

• Analyzed large-scale supply chain datasets utilizing Python, SQL, and SAP to identify operational bottlenecks and drive process improvements.
• Developed automated dashboards and reporting systems using Power BI and Tableau to enhance real-time visibility for global stakeholders.
• Identified performance gaps across international operations, delivering actionable insights and optimized workflows for data-driven decision-making.
• Collaborated with cross-functional global teams to translate complex data into strategic operational efficiency

B.Sc. in Industrial and Information Systems Engineering – Bar Ilan University (2021-10 – 2025-07)