Sr. Data Engineer & Data Scientist

Full-Stack Data Scientist & Sr. Data Engineer with 10+ years in biopharma, skilled in Advanced Analytics, AI/ML, and designing scalable End-to-End solutions for data-driven decision-making.

Sr. Data Engineer & Data Scientist (Sr. Manager)

Takeda Pharmaceutical

Los Angeles, CA

Current - 25-Apr

• Leading LA Digital Roadmap & AI/ML development with 30+ solutions deployed to production.
• Designing, building, and maintaining local data pipelines for critical business data.
• Architected hybrid RAG systems achieving 70% token reduction and 59% deviation reduction.
• Built agentic BI dashboards and AI-powered text-to-SQL applications for quality management.

Data Scientist III (Sr. Manager)

Takeda Pharmaceutical

Los Angeles, CA

25-Mar - 22-Nov

• Drove AGILE 4.0 Digital Workstream, executing local and global GMS/GQ big data and analytics strategy.
• Performed deep-dive analysis into FrIV1 filtration using advance analytics, reducing cycle time by ~25% (over +$2.0M/yr savings).
• Developed scalable End-to-End solutions for commodity transaction monitoring and C3ME JDE work order search, improving efficiency by 75% via text analytics, NLP, and MLOps.

Data Scientist II (Manager)

Takeda Pharmaceutical

Los Angeles, CA

22-Nov - 21-Apr

• Achieved ~50% reduction in process variation via digital twin models (PIMS project).
• Developed scalable end-to-end solutions using text analytics and MLOps, improving deviation search and analytics by 80% and integrating NLP for risk recommendations.
• Los Angeles lead data scientist for global initiative to migrate data sources to cloud services and develop Dimensional Data Models for all GMS/GQ sites.

Optimizing Performance in Shiny

ShinyConf 2025

Virtual

2025

Oxford ML Summer School

AI for Global Goals

Oxford, UK

2023

Data Science Professional

Harvard

Cambridge, MA

2021

Statistical Learning, Inference & Modeling

HarvardX / Stanford Online

Online

2020

Computer Science

Cal State Northridge

Northridge, CA

2010