Summary
Anya Sikri is an engineer based in the San Francisco Bay Area with 10 years of experience at the intersection of healthcare, AI, and cloud engineering. She combines hands-on data science and software development—ranging from building ML models for seizure prediction and single-cell analysis to developing ETL pipelines on 2TB+ Redshift datasets—with practical industry experience at organizations like Abbott, Merck, and UCSF. Currently contributing to translational projects at Rigel Pharmaceuticals, the Innovative Genomics Institute, and UC Berkeley’s healthcare accelerator, she focuses on applying cloud-native tools (Google Cloud, AWS) and advanced Python to accelerate clinical and product insights. Notably, she has built a healthcare market-research chatbot that ingests CSVs for deep analysis and founded an education initiative that taught STEM entrepreneurship to over 350 young learners. Her background blends research rigor, startup agility, and a commitment to improving inclusivity and efficiency in clinical research.
10 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Data Science, Bachelor's degree, Data Science at University of California, Berkeley
Lynbrook High School
Hindi, Spanish