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Alexis Roldan
Data Scientist & Software Developer
Full-Stack Data Scientist & Software Developer with 9+ years of experience, skilled in Advanced Analytics and designing/developing scalable end-to-end solutions for enhanced data-driven decision-making.
Professional Experience
Data Scientist III (Sr. Manager)
Takeda Healthcare
Los Angeles, CA
Current - 22-Nov
- Designed and implemented a custom algorithm and application, using MLOps best practices, to aggregate and analyze data from various sources for optimal suspension paste allocation based on user requirements and protein limits, saving over 600 hours of manual process.
- Developed BI applications for near-real-time automation of C3ME JDE data collection and analysis, streamlining daily manufacturing tasks and saving over 8,000 hours of manual process.
- Developed a scalable end-to-end solution that enhanced C3ME JDE work order search, scheduling, and trending efficiency by 75% through the use of text analytics, NLP, and MLOps frameworks.
Data Scientist II (Manager)
Takeda Healthcare
Los Angeles, CA
22-Nov - 21-Apr
- Developed a scalable end-to-end solution using text analytics and MLOps methodologies, improving deviation search, closure and analytics by 80% and integrating NLP for risk recommendations, saving over 10,000 manual hours across multiple sites worldwide.
- As the Los Angeles lead full-stack data scientist, played a key role in a global initiative to migrate data sources to cloud services and develop and conduct UATs on Dimensional Data Models for all GMS/GQ sites.
- Developed a scalable end-to-end solution that reduced EH&S observation search and trending time by 80% across various operational units worldwide.
Data Scientist, Analytics
Takeda Healthcare
Los Angeles, CA
21-Mar - 19-Dec
- Leveraged Advanced Analytics and Machine Learning algorithms to identify root causes of manufacturing plasma pooling losses, resulting in a 40% loss reduction and savings of over $1 million for the Los Angeles site.
- Supported global cross-functional team, as Los Angeles lead data scientist, to analyze and optimize Los Angeles IG yield by 1%.
- Developed an end-to-end solution for near-real-time collection and analysis of manufacturing & lab data to empower shop floor with data-driven decisions, achieving a 30% performance increase and saving over 30,000 hours of manual processes.
Education
ODSC AI Bootcamp
Open Data Science Conference
San Francisco, CA
2023
Oxford ML Summer School
AI for Global Goals
Oxford, UK
2023
Data Science Professional
Harvard
Cambridge, MA
2021
Computer Science
Cal State Northridge
Northridge, CA
2010