sai vinathi

I am a dedicated Decision Scientist, driven by a pragmatic and logical approach to problem-solving. With determination and meticulousness, I diligently pursue mastery in my field, ensuring every data-driven solution is precise and impactful.

Experience

Data Scientist

Mu Sigma · Oct 2022 – Present

Not yet confirmed

• Worked on real-world evidence engagements for pharmaceutical clients, supporting oncology safety, incidence, treatment, comparator cohort, and synthetic external control arm studies.
• Developed patient cohorts and analytical datasets using claims and EHR data across multiple healthcare databases and study types.
• Used SAS and SQL for data preparation, cohort development, analysis, and study outputs, including reusable macros and functions for recurring requirements.
• Performed data validation, QC, and feasibility checks to identify issues and ensure reliable analytical outputs.
• Supported incidence, comparative, and time-to-event analyses, translating study requirements into appropriate analytical approaches and outputs.
• Worked directly with client stakeholders and senior leadership to understand requirements, discuss analytical approaches, present findings, address requests, and serve as a point of contact for assigned analyses.
• Contributed to process improvements and reusable analytical assets, including QC frameworks and code lists that were adopted across multiple studies.
• Mentored and onboarded 25+ analysts through technical guidance and knowledge-sharing, and supported code reviews and technical interviews.

What drives their work

The Architect

You build robust systems and processes that ensure accuracy and reliability.

sai's superpower

You excel at designing and implementing precise, rule-based systems and processes, ensuring high-quality outcomes.

How sai works

You would excel in teams that require a strong focus on data integrity, process design, and technical mentorship within the pharmaceutical or healthcare analytics domain.